Upload 13 files
Browse files- .gitattributes +1 -0
- huatuo-o1-Med-REFL-LoraAdapter/README.md +62 -0
- huatuo-o1-Med-REFL-LoraAdapter/adapter_config.json +39 -0
- huatuo-o1-Med-REFL-LoraAdapter/adapter_model.safetensors +3 -0
- huatuo-o1-Med-REFL-LoraAdapter/all_results.json +9 -0
- huatuo-o1-Med-REFL-LoraAdapter/special_tokens_map.json +39 -0
- huatuo-o1-Med-REFL-LoraAdapter/tokenizer.json +3 -0
- huatuo-o1-Med-REFL-LoraAdapter/tokenizer_config.json +2070 -0
- huatuo-o1-Med-REFL-LoraAdapter/train_results.json +9 -0
- huatuo-o1-Med-REFL-LoraAdapter/trainer_log.jsonl +262 -0
- huatuo-o1-Med-REFL-LoraAdapter/trainer_state.json +0 -0
- huatuo-o1-Med-REFL-LoraAdapter/training_args.bin +3 -0
- huatuo-o1-Med-REFL-LoraAdapter/training_loss.png +0 -0
- huatuo-o1-Med-REFL-LoraAdapter/training_rewards_accuracies.png +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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huatuo-o1-Med-REFL-LoraAdapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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huatuo-o1-Med-REFL-LoraAdapter/README.md
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---
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+
library_name: peft
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license: other
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base_model: /home/yangzongxian/zongxian/Models/huatuo-o1
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: Huatuo_Stage2_allPart
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Huatuo_Stage2_allPart
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This model is a fine-tuned version of [/home/yangzongxian/zongxian/Models/huatuo-o1](https://huggingface.co//home/yangzongxian/zongxian/Models/huatuo-o1) on the DPO_merged_Stage2_Part1+2 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- PEFT 0.15.0
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- Transformers 4.50.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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huatuo-o1-Med-REFL-LoraAdapter/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/home/yangzongxian/zongxian/Models/huatuo-o1",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"v_proj",
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"up_proj",
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"gate_proj",
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"down_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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huatuo-o1-Med-REFL-LoraAdapter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:803941cc8bda379835131d4bb59bc094d2ac552490f947aec81f5f0a367713c6
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size 671149168
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huatuo-o1-Med-REFL-LoraAdapter/all_results.json
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{
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"epoch": 0.9997605937275557,
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"num_input_tokens_seen": 93801152,
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"total_flos": 4.318246812239528e+18,
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"train_loss": 0.2454147177009747,
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"train_runtime": 22841.5151,
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"train_samples_per_second": 1.463,
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"train_steps_per_second": 0.011
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}
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huatuo-o1-Med-REFL-LoraAdapter/special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "<|eom_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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],
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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huatuo-o1-Med-REFL-LoraAdapter/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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size 17209920
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huatuo-o1-Med-REFL-LoraAdapter/tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
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| 1828 |
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| 1829 |
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| 1830 |
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| 1833 |
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| 1834 |
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|
| 1836 |
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| 1837 |
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| 1842 |
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| 1844 |
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| 1848 |
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| 1849 |
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|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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|
| 1853 |
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| 1854 |
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| 1856 |
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| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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|
| 1861 |
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|
| 1862 |
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|
| 1863 |
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|
| 1864 |
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|
| 1865 |
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|
| 1866 |
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|
| 1867 |
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|
| 1868 |
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|
| 1869 |
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|
| 1870 |
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|
| 1871 |
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| 1872 |
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|
| 1873 |
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|
| 1874 |
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|
| 1875 |
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|
| 1876 |
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|
| 1877 |
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|
| 1878 |
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|
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|
| 1880 |
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|
| 1881 |
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|
| 1882 |
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|
| 1883 |
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|
| 1884 |
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|
| 1885 |
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|
| 1886 |
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|
| 1887 |
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|
| 1888 |
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|
| 1889 |
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|
| 1890 |
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|
| 1891 |
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|
| 1892 |
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|
| 1893 |
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|
| 1894 |
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|
| 1895 |
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|
| 1896 |
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|
| 1897 |
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|
| 1898 |
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|
| 1899 |
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|
| 1900 |
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|
| 1901 |
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|
| 1902 |
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|
| 1903 |
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| 1904 |
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|
| 1905 |
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|
| 1906 |
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|
| 1907 |
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|
| 1908 |
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|
| 1909 |
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|
| 1910 |
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|
| 1911 |
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|
| 1912 |
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|
| 1913 |
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|
| 1914 |
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|
| 1915 |
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|
| 1916 |
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|
| 1917 |
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|
| 1918 |
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|
| 1919 |
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|
| 1920 |
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|
| 1921 |
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|
| 1922 |
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|
| 1923 |
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|
| 1924 |
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|
| 1925 |
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|
| 1926 |
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|
| 1927 |
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|
| 1928 |
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|
| 1929 |
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|
| 1930 |
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|
| 1931 |
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|
| 1932 |
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|
| 1933 |
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| 1934 |
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|
| 1935 |
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|
| 1936 |
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|
| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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|
| 1941 |
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| 1942 |
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|
| 1943 |
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|
| 1944 |
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|
| 1945 |
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|
| 1946 |
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|
| 1947 |
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|
| 1948 |
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|
| 1949 |
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|
| 1950 |
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|
| 1951 |
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|
| 1952 |
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|
| 1953 |
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|
| 1954 |
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|
| 1955 |
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|
| 1956 |
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|
| 1957 |
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|
| 1958 |
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|
| 1959 |
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| 1960 |
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|
| 1961 |
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|
| 1962 |
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|
| 1963 |
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|
| 1964 |
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|
| 1965 |
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|
| 1966 |
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|
| 1967 |
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|
| 1968 |
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|
| 1969 |
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|
| 1970 |
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|
| 1971 |
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|
| 1972 |
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|
| 1973 |
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|
| 1974 |
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|
| 1975 |
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| 1976 |
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|
| 1977 |
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|
| 1978 |
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|
| 1979 |
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|
| 1980 |
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|
| 1981 |
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|
| 1982 |
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|
| 1983 |
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|
| 1984 |
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|
| 1985 |
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|
| 1986 |
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|
| 1987 |
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|
| 1988 |
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"content": "<|reserved_special_token_240|>",
|
| 1989 |
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|
| 1990 |
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|
| 1991 |
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|
| 1992 |
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|
| 1993 |
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|
| 1994 |
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|
| 1995 |
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|
| 1996 |
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|
| 1997 |
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| 1998 |
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|
| 1999 |
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| 2000 |
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|
| 2001 |
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|
| 2002 |
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|
| 2003 |
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|
| 2004 |
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"content": "<|reserved_special_token_242|>",
|
| 2005 |
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|
| 2006 |
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|
| 2007 |
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|
| 2008 |
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|
| 2009 |
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|
| 2010 |
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},
|
| 2011 |
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|
| 2012 |
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"content": "<|reserved_special_token_243|>",
|
| 2013 |
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|
| 2014 |
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| 2015 |
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| 2016 |
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|
| 2017 |
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|
| 2018 |
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},
|
| 2019 |
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|
| 2020 |
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"content": "<|reserved_special_token_244|>",
|
| 2021 |
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|
| 2022 |
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| 2023 |
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| 2024 |
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| 2025 |
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|
| 2026 |
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|
| 2027 |
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|
| 2028 |
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|
| 2029 |
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|
| 2030 |
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|
| 2031 |
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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|
| 2035 |
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|
| 2036 |
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|
| 2037 |
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| 2038 |
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| 2039 |
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| 2040 |
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| 2041 |
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| 2042 |
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| 2043 |
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|
| 2044 |
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|
| 2045 |
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| 2046 |
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| 2047 |
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| 2048 |
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|
| 2049 |
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|
| 2050 |
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|
| 2051 |
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},
|
| 2052 |
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|
| 2053 |
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"<|eot_id|>",
|
| 2054 |
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"<|eom_id|>"
|
| 2055 |
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],
|
| 2056 |
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"bos_token": "<|begin_of_text|>",
|
| 2057 |
+
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
|
| 2058 |
+
"clean_up_tokenization_spaces": true,
|
| 2059 |
+
"eos_token": "<|eot_id|>",
|
| 2060 |
+
"extra_special_tokens": {},
|
| 2061 |
+
"model_input_names": [
|
| 2062 |
+
"input_ids",
|
| 2063 |
+
"attention_mask"
|
| 2064 |
+
],
|
| 2065 |
+
"model_max_length": 131072,
|
| 2066 |
+
"pad_token": "<|end_of_text|>",
|
| 2067 |
+
"padding_side": "right",
|
| 2068 |
+
"split_special_tokens": false,
|
| 2069 |
+
"tokenizer_class": "PreTrainedTokenizer"
|
| 2070 |
+
}
|
huatuo-o1-Med-REFL-LoraAdapter/train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997605937275557,
|
| 3 |
+
"num_input_tokens_seen": 93801152,
|
| 4 |
+
"total_flos": 4.318246812239528e+18,
|
| 5 |
+
"train_loss": 0.2454147177009747,
|
| 6 |
+
"train_runtime": 22841.5151,
|
| 7 |
+
"train_samples_per_second": 1.463,
|
| 8 |
+
"train_steps_per_second": 0.011
|
| 9 |
+
}
|
huatuo-o1-Med-REFL-LoraAdapter/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,262 @@
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 1, "total_steps": 261, "loss": 0.6931, "accuracy": 0.0, "lr": 1.0000000000000002e-06, "epoch": 0.0038305003591094086, "percentage": 0.38, "elapsed_time": "0:01:31", "remaining_time": "6:36:49", "throughput": 3958.44, "total_tokens": 362496}
|
| 2 |
+
{"current_steps": 2, "total_steps": 261, "loss": 0.6931, "accuracy": 0.0, "lr": 2.0000000000000003e-06, "epoch": 0.007661000718218817, "percentage": 0.77, "elapsed_time": "0:02:59", "remaining_time": "6:26:46", "throughput": 4007.56, "total_tokens": 718144}
|
| 3 |
+
{"current_steps": 3, "total_steps": 261, "loss": 0.7036, "accuracy": 0.4375, "lr": 3e-06, "epoch": 0.011491501077328227, "percentage": 1.15, "elapsed_time": "0:04:26", "remaining_time": "6:21:19", "throughput": 4042.19, "total_tokens": 1075392}
|
| 4 |
+
{"current_steps": 4, "total_steps": 261, "loss": 0.6913, "accuracy": 0.5390625, "lr": 4.000000000000001e-06, "epoch": 0.015322001436437634, "percentage": 1.53, "elapsed_time": "0:05:53", "remaining_time": "6:18:56", "throughput": 4041.16, "total_tokens": 1430080}
|
| 5 |
+
{"current_steps": 5, "total_steps": 261, "loss": 0.6978, "accuracy": 0.5, "lr": 5e-06, "epoch": 0.019152501795547044, "percentage": 1.92, "elapsed_time": "0:07:20", "remaining_time": "6:15:32", "throughput": 4059.0, "total_tokens": 1786304}
|
| 6 |
+
{"current_steps": 6, "total_steps": 261, "loss": 0.6808, "accuracy": 0.6015625, "lr": 6e-06, "epoch": 0.022983002154656453, "percentage": 2.3, "elapsed_time": "0:08:45", "remaining_time": "6:12:22", "throughput": 4056.45, "total_tokens": 2132544}
|
| 7 |
+
{"current_steps": 7, "total_steps": 261, "loss": 0.6866, "accuracy": 0.546875, "lr": 7e-06, "epoch": 0.02681350251376586, "percentage": 2.68, "elapsed_time": "0:10:12", "remaining_time": "6:10:27", "throughput": 4062.86, "total_tokens": 2488832}
|
| 8 |
+
{"current_steps": 8, "total_steps": 261, "loss": 0.6897, "accuracy": 0.515625, "lr": 8.000000000000001e-06, "epoch": 0.03064400287287527, "percentage": 3.07, "elapsed_time": "0:11:42", "remaining_time": "6:10:29", "throughput": 4058.27, "total_tokens": 2852544}
|
| 9 |
+
{"current_steps": 9, "total_steps": 261, "loss": 0.6901, "accuracy": 0.5546875, "lr": 9e-06, "epoch": 0.03447450323198468, "percentage": 3.45, "elapsed_time": "0:13:11", "remaining_time": "6:09:21", "throughput": 4069.02, "total_tokens": 3220608}
|
| 10 |
+
{"current_steps": 10, "total_steps": 261, "loss": 0.691, "accuracy": 0.53125, "lr": 1e-05, "epoch": 0.03830500359109409, "percentage": 3.83, "elapsed_time": "0:14:42", "remaining_time": "6:09:01", "throughput": 4072.11, "total_tokens": 3592128}
|
| 11 |
+
{"current_steps": 11, "total_steps": 261, "loss": 0.6915, "accuracy": 0.5, "lr": 9.999608360361114e-06, "epoch": 0.0421355039502035, "percentage": 4.21, "elapsed_time": "0:16:11", "remaining_time": "6:08:05", "throughput": 4086.82, "total_tokens": 3971392}
|
| 12 |
+
{"current_steps": 12, "total_steps": 261, "loss": 0.691, "accuracy": 0.515625, "lr": 9.998433502797097e-06, "epoch": 0.045966004309312906, "percentage": 4.6, "elapsed_time": "0:17:39", "remaining_time": "6:06:20", "throughput": 4085.34, "total_tokens": 4327552}
|
| 13 |
+
{"current_steps": 13, "total_steps": 261, "loss": 0.6828, "accuracy": 0.59375, "lr": 9.996475611356265e-06, "epoch": 0.049796504668422316, "percentage": 4.98, "elapsed_time": "0:19:10", "remaining_time": "6:05:48", "throughput": 4086.45, "total_tokens": 4701568}
|
| 14 |
+
{"current_steps": 14, "total_steps": 261, "loss": 0.6787, "accuracy": 0.6640625, "lr": 9.993734992753777e-06, "epoch": 0.05362700502753172, "percentage": 5.36, "elapsed_time": "0:20:37", "remaining_time": "6:03:49", "throughput": 4086.74, "total_tokens": 5056448}
|
| 15 |
+
{"current_steps": 15, "total_steps": 261, "loss": 0.6765, "accuracy": 0.6015625, "lr": 9.990212076323587e-06, "epoch": 0.05745750538664113, "percentage": 5.75, "elapsed_time": "0:22:00", "remaining_time": "6:00:58", "throughput": 4092.81, "total_tokens": 5405056}
|
| 16 |
+
{"current_steps": 16, "total_steps": 261, "loss": 0.6792, "accuracy": 0.6015625, "lr": 9.98590741395118e-06, "epoch": 0.06128800574575054, "percentage": 6.13, "elapsed_time": "0:23:28", "remaining_time": "5:59:21", "throughput": 4089.47, "total_tokens": 5758464}
|
| 17 |
+
{"current_steps": 17, "total_steps": 261, "loss": 0.6786, "accuracy": 0.59375, "lr": 9.980821679987125e-06, "epoch": 0.06511850610485995, "percentage": 6.51, "elapsed_time": "0:24:53", "remaining_time": "5:57:16", "throughput": 4095.4, "total_tokens": 6116480}
|
| 18 |
+
{"current_steps": 18, "total_steps": 261, "loss": 0.6739, "accuracy": 0.5703125, "lr": 9.974955671141425e-06, "epoch": 0.06894900646396936, "percentage": 6.9, "elapsed_time": "0:26:23", "remaining_time": "5:56:13", "throughput": 4094.55, "total_tokens": 6482624}
|
| 19 |
+
{"current_steps": 19, "total_steps": 261, "loss": 0.66, "accuracy": 0.6640625, "lr": 9.968310306358715e-06, "epoch": 0.07277950682307877, "percentage": 7.28, "elapsed_time": "0:27:49", "remaining_time": "5:54:27", "throughput": 4093.83, "total_tokens": 6835712}
|
| 20 |
+
{"current_steps": 20, "total_steps": 261, "loss": 0.6575, "accuracy": 0.6484375, "lr": 9.960886626674302e-06, "epoch": 0.07661000718218818, "percentage": 7.66, "elapsed_time": "0:29:17", "remaining_time": "5:53:02", "throughput": 4086.25, "total_tokens": 7183040}
|
| 21 |
+
{"current_steps": 21, "total_steps": 261, "loss": 0.6635, "accuracy": 0.6484375, "lr": 9.952685795051078e-06, "epoch": 0.08044050754129758, "percentage": 8.05, "elapsed_time": "0:30:49", "remaining_time": "5:52:15", "throughput": 4083.65, "total_tokens": 7552000}
|
| 22 |
+
{"current_steps": 22, "total_steps": 261, "loss": 0.6437, "accuracy": 0.7109375, "lr": 9.943709096197334e-06, "epoch": 0.084271007900407, "percentage": 8.43, "elapsed_time": "0:32:19", "remaining_time": "5:51:14", "throughput": 4082.07, "total_tokens": 7918784}
|
| 23 |
+
{"current_steps": 23, "total_steps": 261, "loss": 0.6572, "accuracy": 0.6953125, "lr": 9.933957936365515e-06, "epoch": 0.0881015082595164, "percentage": 8.81, "elapsed_time": "0:33:45", "remaining_time": "5:49:24", "throughput": 4084.71, "total_tokens": 8275392}
|
| 24 |
+
{"current_steps": 24, "total_steps": 261, "loss": 0.6214, "accuracy": 0.734375, "lr": 9.9234338431319e-06, "epoch": 0.09193200861862581, "percentage": 9.2, "elapsed_time": "0:35:11", "remaining_time": "5:47:31", "throughput": 4087.57, "total_tokens": 8630976}
|
| 25 |
+
{"current_steps": 25, "total_steps": 261, "loss": 0.6145, "accuracy": 0.75, "lr": 9.912138465157325e-06, "epoch": 0.09576250897773522, "percentage": 9.58, "elapsed_time": "0:36:40", "remaining_time": "5:46:15", "throughput": 4086.95, "total_tokens": 8994496}
|
| 26 |
+
{"current_steps": 26, "total_steps": 261, "loss": 0.6296, "accuracy": 0.75, "lr": 9.900073571928887e-06, "epoch": 0.09959300933684463, "percentage": 9.96, "elapsed_time": "0:38:11", "remaining_time": "5:45:10", "throughput": 4086.41, "total_tokens": 9363648}
|
| 27 |
+
{"current_steps": 27, "total_steps": 261, "loss": 0.6069, "accuracy": 0.7578125, "lr": 9.887241053482756e-06, "epoch": 0.10342350969595403, "percentage": 10.34, "elapsed_time": "0:39:38", "remaining_time": "5:43:30", "throughput": 4085.85, "total_tokens": 9716544}
|
| 28 |
+
{"current_steps": 28, "total_steps": 261, "loss": 0.5903, "accuracy": 0.8046875, "lr": 9.87364292010809e-06, "epoch": 0.10725401005506344, "percentage": 10.73, "elapsed_time": "0:41:01", "remaining_time": "5:41:26", "throughput": 4087.31, "total_tokens": 10062592}
|
| 29 |
+
{"current_steps": 29, "total_steps": 261, "loss": 0.5922, "accuracy": 0.8203125, "lr": 9.859281302032107e-06, "epoch": 0.11108451041417285, "percentage": 11.11, "elapsed_time": "0:42:27", "remaining_time": "5:39:43", "throughput": 4088.1, "total_tokens": 10416320}
|
| 30 |
+
{"current_steps": 30, "total_steps": 261, "loss": 0.5985, "accuracy": 0.796875, "lr": 9.844158449086372e-06, "epoch": 0.11491501077328226, "percentage": 11.49, "elapsed_time": "0:43:59", "remaining_time": "5:38:42", "throughput": 4086.59, "total_tokens": 10785856}
|
| 31 |
+
{"current_steps": 31, "total_steps": 261, "loss": 0.5576, "accuracy": 0.859375, "lr": 9.828276730354353e-06, "epoch": 0.11874551113239167, "percentage": 11.88, "elapsed_time": "0:45:28", "remaining_time": "5:37:20", "throughput": 4087.41, "total_tokens": 11150656}
|
| 32 |
+
{"current_steps": 32, "total_steps": 261, "loss": 0.5511, "accuracy": 0.84375, "lr": 9.811638633800287e-06, "epoch": 0.12257601149150107, "percentage": 12.26, "elapsed_time": "0:46:51", "remaining_time": "5:35:21", "throughput": 4087.77, "total_tokens": 11493568}
|
| 33 |
+
{"current_steps": 33, "total_steps": 261, "loss": 0.5723, "accuracy": 0.828125, "lr": 9.794246765879421e-06, "epoch": 0.1264065118506105, "percentage": 12.64, "elapsed_time": "0:48:20", "remaining_time": "5:34:00", "throughput": 4089.44, "total_tokens": 11861824}
|
| 34 |
+
{"current_steps": 34, "total_steps": 261, "loss": 0.5751, "accuracy": 0.828125, "lr": 9.776103851129706e-06, "epoch": 0.1302370122097199, "percentage": 13.03, "elapsed_time": "0:49:50", "remaining_time": "5:32:47", "throughput": 4089.28, "total_tokens": 12229824}
|
| 35 |
+
{"current_steps": 35, "total_steps": 261, "loss": 0.5121, "accuracy": 0.8984375, "lr": 9.757212731744973e-06, "epoch": 0.13406751256882932, "percentage": 13.41, "elapsed_time": "0:51:25", "remaining_time": "5:32:03", "throughput": 4087.14, "total_tokens": 12610880}
|
| 36 |
+
{"current_steps": 36, "total_steps": 261, "loss": 0.536, "accuracy": 0.796875, "lr": 9.737576367129694e-06, "epoch": 0.1378980129279387, "percentage": 13.79, "elapsed_time": "0:52:51", "remaining_time": "5:30:20", "throughput": 4086.3, "total_tokens": 12958592}
|
| 37 |
+
{"current_steps": 37, "total_steps": 261, "loss": 0.5294, "accuracy": 0.8203125, "lr": 9.717197833435367e-06, "epoch": 0.1417285132870481, "percentage": 14.18, "elapsed_time": "0:54:16", "remaining_time": "5:28:36", "throughput": 4087.02, "total_tokens": 13310336}
|
| 38 |
+
{"current_steps": 38, "total_steps": 261, "loss": 0.5191, "accuracy": 0.8046875, "lr": 9.696080323078621e-06, "epoch": 0.14555901364615753, "percentage": 14.56, "elapsed_time": "0:55:49", "remaining_time": "5:27:36", "throughput": 4084.64, "total_tokens": 13681920}
|
| 39 |
+
{"current_steps": 39, "total_steps": 261, "loss": 0.5371, "accuracy": 0.8515625, "lr": 9.67422714424111e-06, "epoch": 0.14938951400526693, "percentage": 14.94, "elapsed_time": "0:57:15", "remaining_time": "5:25:58", "throughput": 4084.4, "total_tokens": 14033792}
|
| 40 |
+
{"current_steps": 40, "total_steps": 261, "loss": 0.49, "accuracy": 0.8828125, "lr": 9.651641720351262e-06, "epoch": 0.15322001436437635, "percentage": 15.33, "elapsed_time": "0:58:41", "remaining_time": "5:24:14", "throughput": 4087.33, "total_tokens": 14392064}
|
| 41 |
+
{"current_steps": 41, "total_steps": 261, "loss": 0.4843, "accuracy": 0.8828125, "lr": 9.628327589547977e-06, "epoch": 0.15705051472348575, "percentage": 15.71, "elapsed_time": "1:00:08", "remaining_time": "5:22:41", "throughput": 4087.89, "total_tokens": 14750144}
|
| 42 |
+
{"current_steps": 42, "total_steps": 261, "loss": 0.4864, "accuracy": 0.9140625, "lr": 9.604288404126362e-06, "epoch": 0.16088101508259517, "percentage": 16.09, "elapsed_time": "1:01:35", "remaining_time": "5:21:11", "throughput": 4089.86, "total_tokens": 15115648}
|
| 43 |
+
{"current_steps": 43, "total_steps": 261, "loss": 0.4906, "accuracy": 0.890625, "lr": 9.579527929965581e-06, "epoch": 0.16471151544170456, "percentage": 16.48, "elapsed_time": "1:03:00", "remaining_time": "5:19:26", "throughput": 4093.04, "total_tokens": 15473984}
|
| 44 |
+
{"current_steps": 44, "total_steps": 261, "loss": 0.4451, "accuracy": 0.8671875, "lr": 9.554050045938893e-06, "epoch": 0.168542015800814, "percentage": 16.86, "elapsed_time": "1:04:26", "remaining_time": "5:17:50", "throughput": 4090.67, "total_tokens": 15818304}
|
| 45 |
+
{"current_steps": 45, "total_steps": 261, "loss": 0.448, "accuracy": 0.875, "lr": 9.52785874330602e-06, "epoch": 0.17237251615992338, "percentage": 17.24, "elapsed_time": "1:05:52", "remaining_time": "5:16:13", "throughput": 4091.57, "total_tokens": 16173312}
|
| 46 |
+
{"current_steps": 46, "total_steps": 261, "loss": 0.4443, "accuracy": 0.8671875, "lr": 9.500958125087882e-06, "epoch": 0.1762030165190328, "percentage": 17.62, "elapsed_time": "1:07:24", "remaining_time": "5:15:01", "throughput": 4090.57, "total_tokens": 16542400}
|
| 47 |
+
{"current_steps": 47, "total_steps": 261, "loss": 0.4219, "accuracy": 0.921875, "lr": 9.473352405423845e-06, "epoch": 0.1800335168781422, "percentage": 18.01, "elapsed_time": "1:08:55", "remaining_time": "5:13:49", "throughput": 4088.1, "total_tokens": 16906368}
|
| 48 |
+
{"current_steps": 48, "total_steps": 261, "loss": 0.4229, "accuracy": 0.8828125, "lr": 9.445045908911536e-06, "epoch": 0.18386401723725163, "percentage": 18.39, "elapsed_time": "1:10:18", "remaining_time": "5:11:58", "throughput": 4088.01, "total_tokens": 17244160}
|
| 49 |
+
{"current_steps": 49, "total_steps": 261, "loss": 0.421, "accuracy": 0.8828125, "lr": 9.416043069929389e-06, "epoch": 0.18769451759636102, "percentage": 18.77, "elapsed_time": "1:11:45", "remaining_time": "5:10:27", "throughput": 4089.12, "total_tokens": 17605632}
|
| 50 |
+
{"current_steps": 50, "total_steps": 261, "loss": 0.4248, "accuracy": 0.890625, "lr": 9.386348431941953e-06, "epoch": 0.19152501795547044, "percentage": 19.16, "elapsed_time": "1:13:13", "remaining_time": "5:09:02", "throughput": 4088.97, "total_tokens": 17966784}
|
| 51 |
+
{"current_steps": 51, "total_steps": 261, "loss": 0.3664, "accuracy": 0.8984375, "lr": 9.355966646788152e-06, "epoch": 0.19535551831457984, "percentage": 19.54, "elapsed_time": "1:14:41", "remaining_time": "5:07:33", "throughput": 4089.76, "total_tokens": 18328768}
|
| 52 |
+
{"current_steps": 52, "total_steps": 261, "loss": 0.427, "accuracy": 0.859375, "lr": 9.324902473952529e-06, "epoch": 0.19918601867368926, "percentage": 19.92, "elapsed_time": "1:16:08", "remaining_time": "5:06:02", "throughput": 4089.13, "total_tokens": 18682304}
|
| 53 |
+
{"current_steps": 53, "total_steps": 261, "loss": 0.3614, "accuracy": 0.890625, "lr": 9.293160779819658e-06, "epoch": 0.20301651903279866, "percentage": 20.31, "elapsed_time": "1:17:36", "remaining_time": "5:04:32", "throughput": 4088.82, "total_tokens": 19037760}
|
| 54 |
+
{"current_steps": 54, "total_steps": 261, "loss": 0.3549, "accuracy": 0.9140625, "lr": 9.260746536911792e-06, "epoch": 0.20684701939190805, "percentage": 20.69, "elapsed_time": "1:19:02", "remaining_time": "5:02:58", "throughput": 4089.83, "total_tokens": 19394688}
|
| 55 |
+
{"current_steps": 55, "total_steps": 261, "loss": 0.3531, "accuracy": 0.890625, "lr": 9.227664823109884e-06, "epoch": 0.21067751975101748, "percentage": 21.07, "elapsed_time": "1:20:33", "remaining_time": "5:01:43", "throughput": 4088.29, "total_tokens": 19760704}
|
| 56 |
+
{"current_steps": 56, "total_steps": 261, "loss": 0.3455, "accuracy": 0.9140625, "lr": 9.193920820858113e-06, "epoch": 0.21450802011012687, "percentage": 21.46, "elapsed_time": "1:22:01", "remaining_time": "5:00:17", "throughput": 4088.16, "total_tokens": 20121856}
|
| 57 |
+
{"current_steps": 57, "total_steps": 261, "loss": 0.3191, "accuracy": 0.9296875, "lr": 9.159519816352021e-06, "epoch": 0.2183385204692363, "percentage": 21.84, "elapsed_time": "1:23:30", "remaining_time": "4:58:51", "throughput": 4088.01, "total_tokens": 20482304}
|
| 58 |
+
{"current_steps": 58, "total_steps": 261, "loss": 0.3171, "accuracy": 0.9296875, "lr": 9.124467198710401e-06, "epoch": 0.2221690208283457, "percentage": 22.22, "elapsed_time": "1:24:53", "remaining_time": "4:57:07", "throughput": 4088.0, "total_tokens": 20822656}
|
| 59 |
+
{"current_steps": 59, "total_steps": 261, "loss": 0.3078, "accuracy": 0.9609375, "lr": 9.08876845913106e-06, "epoch": 0.22599952118745512, "percentage": 22.61, "elapsed_time": "1:26:21", "remaining_time": "4:55:41", "throughput": 4088.8, "total_tokens": 21187392}
|
| 60 |
+
{"current_steps": 60, "total_steps": 261, "loss": 0.3253, "accuracy": 0.90625, "lr": 9.052429190030589e-06, "epoch": 0.2298300215465645, "percentage": 22.99, "elapsed_time": "1:27:49", "remaining_time": "4:54:13", "throughput": 4088.61, "total_tokens": 21545600}
|
| 61 |
+
{"current_steps": 61, "total_steps": 261, "loss": 0.3212, "accuracy": 0.9140625, "lr": 9.015455084168279e-06, "epoch": 0.23366052190567393, "percentage": 23.37, "elapsed_time": "1:29:13", "remaining_time": "4:52:31", "throughput": 4088.75, "total_tokens": 21887936}
|
| 62 |
+
{"current_steps": 62, "total_steps": 261, "loss": 0.3188, "accuracy": 0.9609375, "lr": 8.977851933754317e-06, "epoch": 0.23749102226478333, "percentage": 23.75, "elapsed_time": "1:30:36", "remaining_time": "4:50:48", "throughput": 4089.71, "total_tokens": 22233024}
|
| 63 |
+
{"current_steps": 63, "total_steps": 261, "loss": 0.2957, "accuracy": 0.9140625, "lr": 8.939625629542401e-06, "epoch": 0.24132152262389275, "percentage": 24.14, "elapsed_time": "1:32:02", "remaining_time": "4:49:15", "throughput": 4090.04, "total_tokens": 22585472}
|
| 64 |
+
{"current_steps": 64, "total_steps": 261, "loss": 0.2977, "accuracy": 0.890625, "lr": 8.900782159906927e-06, "epoch": 0.24515202298300215, "percentage": 24.52, "elapsed_time": "1:33:31", "remaining_time": "4:47:54", "throughput": 4088.91, "total_tokens": 22946880}
|
| 65 |
+
{"current_steps": 65, "total_steps": 261, "loss": 0.2786, "accuracy": 0.921875, "lr": 8.861327609904859e-06, "epoch": 0.24898252334211157, "percentage": 24.9, "elapsed_time": "1:34:59", "remaining_time": "4:46:26", "throughput": 4088.82, "total_tokens": 23304320}
|
| 66 |
+
{"current_steps": 66, "total_steps": 261, "loss": 0.2977, "accuracy": 0.859375, "lr": 8.821268160322482e-06, "epoch": 0.252813023701221, "percentage": 25.29, "elapsed_time": "1:36:25", "remaining_time": "4:44:52", "throughput": 4090.71, "total_tokens": 23665536}
|
| 67 |
+
{"current_steps": 67, "total_steps": 261, "loss": 0.2613, "accuracy": 0.9296875, "lr": 8.780610086707149e-06, "epoch": 0.25664352406033036, "percentage": 25.67, "elapsed_time": "1:37:50", "remaining_time": "4:43:18", "throughput": 4091.77, "total_tokens": 24021376}
|
| 68 |
+
{"current_steps": 68, "total_steps": 261, "loss": 0.2722, "accuracy": 0.9296875, "lr": 8.739359758384162e-06, "epoch": 0.2604740244194398, "percentage": 26.05, "elapsed_time": "1:39:19", "remaining_time": "4:41:54", "throughput": 4091.81, "total_tokens": 24385216}
|
| 69 |
+
{"current_steps": 69, "total_steps": 261, "loss": 0.2872, "accuracy": 0.90625, "lr": 8.697523637458997e-06, "epoch": 0.2643045247785492, "percentage": 26.44, "elapsed_time": "1:40:50", "remaining_time": "4:40:36", "throughput": 4090.43, "total_tokens": 24750080}
|
| 70 |
+
{"current_steps": 70, "total_steps": 261, "loss": 0.272, "accuracy": 0.9140625, "lr": 8.655108277804975e-06, "epoch": 0.26813502513765863, "percentage": 26.82, "elapsed_time": "1:42:18", "remaining_time": "4:39:09", "throughput": 4091.52, "total_tokens": 25116480}
|
| 71 |
+
{"current_steps": 71, "total_steps": 261, "loss": 0.2075, "accuracy": 0.9609375, "lr": 8.612120324036548e-06, "epoch": 0.271965525496768, "percentage": 27.2, "elapsed_time": "1:43:43", "remaining_time": "4:37:34", "throughput": 4091.74, "total_tokens": 25465536}
|
| 72 |
+
{"current_steps": 72, "total_steps": 261, "loss": 0.2464, "accuracy": 0.9375, "lr": 8.568566510468392e-06, "epoch": 0.2757960258558774, "percentage": 27.59, "elapsed_time": "1:45:12", "remaining_time": "4:36:09", "throughput": 4092.6, "total_tokens": 25833344}
|
| 73 |
+
{"current_steps": 73, "total_steps": 261, "loss": 0.2724, "accuracy": 0.921875, "lr": 8.524453660060434e-06, "epoch": 0.27962652621498685, "percentage": 27.97, "elapsed_time": "1:46:36", "remaining_time": "4:34:32", "throughput": 4093.55, "total_tokens": 26183872}
|
| 74 |
+
{"current_steps": 74, "total_steps": 261, "loss": 0.2695, "accuracy": 0.8984375, "lr": 8.479788683348996e-06, "epoch": 0.2834570265740962, "percentage": 28.35, "elapsed_time": "1:48:04", "remaining_time": "4:33:06", "throughput": 4092.71, "total_tokens": 26539904}
|
| 75 |
+
{"current_steps": 75, "total_steps": 261, "loss": 0.266, "accuracy": 0.9140625, "lr": 8.434578577364218e-06, "epoch": 0.28728752693320564, "percentage": 28.74, "elapsed_time": "1:49:30", "remaining_time": "4:31:35", "throughput": 4094.22, "total_tokens": 26902464}
|
| 76 |
+
{"current_steps": 76, "total_steps": 261, "loss": 0.2346, "accuracy": 0.9296875, "lr": 8.388830424533935e-06, "epoch": 0.29111802729231506, "percentage": 29.12, "elapsed_time": "1:51:02", "remaining_time": "4:30:18", "throughput": 4092.74, "total_tokens": 27269504}
|
| 77 |
+
{"current_steps": 77, "total_steps": 261, "loss": 0.263, "accuracy": 0.9296875, "lr": 8.342551391574165e-06, "epoch": 0.2949485276514245, "percentage": 29.5, "elapsed_time": "1:52:30", "remaining_time": "4:28:52", "throughput": 4092.63, "total_tokens": 27629248}
|
| 78 |
+
{"current_steps": 78, "total_steps": 261, "loss": 0.2319, "accuracy": 0.921875, "lr": 8.295748728366414e-06, "epoch": 0.29877902801053385, "percentage": 29.89, "elapsed_time": "1:53:56", "remaining_time": "4:27:19", "throughput": 4094.02, "total_tokens": 27988096}
|
| 79 |
+
{"current_steps": 79, "total_steps": 261, "loss": 0.2636, "accuracy": 0.9296875, "lr": 8.248429766821925e-06, "epoch": 0.3026095283696433, "percentage": 30.27, "elapsed_time": "1:55:22", "remaining_time": "4:25:48", "throughput": 4094.65, "total_tokens": 28346432}
|
| 80 |
+
{"current_steps": 80, "total_steps": 261, "loss": 0.2616, "accuracy": 0.8984375, "lr": 8.200601919733106e-06, "epoch": 0.3064400287287527, "percentage": 30.65, "elapsed_time": "1:56:54", "remaining_time": "4:24:31", "throughput": 4093.47, "total_tokens": 28715200}
|
| 81 |
+
{"current_steps": 81, "total_steps": 261, "loss": 0.2285, "accuracy": 0.921875, "lr": 8.15227267961226e-06, "epoch": 0.3102705290878621, "percentage": 31.03, "elapsed_time": "1:58:19", "remaining_time": "4:22:57", "throughput": 4094.39, "total_tokens": 29068800}
|
| 82 |
+
{"current_steps": 82, "total_steps": 261, "loss": 0.257, "accuracy": 0.875, "lr": 8.10344961751785e-06, "epoch": 0.3141010294469715, "percentage": 31.42, "elapsed_time": "1:59:44", "remaining_time": "4:21:23", "throughput": 4094.2, "total_tokens": 29416000}
|
| 83 |
+
{"current_steps": 83, "total_steps": 261, "loss": 0.2235, "accuracy": 0.9453125, "lr": 8.054140381868435e-06, "epoch": 0.3179315298060809, "percentage": 31.8, "elapsed_time": "2:01:08", "remaining_time": "4:19:48", "throughput": 4095.4, "total_tokens": 29768704}
|
| 84 |
+
{"current_steps": 84, "total_steps": 261, "loss": 0.2401, "accuracy": 0.9296875, "lr": 8.004352697244516e-06, "epoch": 0.32176203016519034, "percentage": 32.18, "elapsed_time": "2:02:37", "remaining_time": "4:18:23", "throughput": 4097.01, "total_tokens": 30143360}
|
| 85 |
+
{"current_steps": 85, "total_steps": 261, "loss": 0.2107, "accuracy": 0.9453125, "lr": 7.954094363178421e-06, "epoch": 0.32559253052429976, "percentage": 32.57, "elapsed_time": "2:04:02", "remaining_time": "4:16:51", "throughput": 4097.44, "total_tokens": 30496832}
|
| 86 |
+
{"current_steps": 86, "total_steps": 261, "loss": 0.2237, "accuracy": 0.90625, "lr": 7.903373252932474e-06, "epoch": 0.32942303088340913, "percentage": 32.95, "elapsed_time": "2:05:30", "remaining_time": "4:15:23", "throughput": 4097.41, "total_tokens": 30854400}
|
| 87 |
+
{"current_steps": 87, "total_steps": 261, "loss": 0.2435, "accuracy": 0.9140625, "lr": 7.852197312265592e-06, "epoch": 0.33325353124251855, "percentage": 33.33, "elapsed_time": "2:06:55", "remaining_time": "4:13:51", "throughput": 4098.47, "total_tokens": 31212288}
|
| 88 |
+
{"current_steps": 88, "total_steps": 261, "loss": 0.2273, "accuracy": 0.921875, "lr": 7.800574558188548e-06, "epoch": 0.337084031601628, "percentage": 33.72, "elapsed_time": "2:08:25", "remaining_time": "4:12:27", "throughput": 4098.08, "total_tokens": 31576000}
|
| 89 |
+
{"current_steps": 89, "total_steps": 261, "loss": 0.2568, "accuracy": 0.90625, "lr": 7.748513077708044e-06, "epoch": 0.34091453196073734, "percentage": 34.1, "elapsed_time": "2:09:51", "remaining_time": "4:10:58", "throughput": 4098.02, "total_tokens": 31930560}
|
| 90 |
+
{"current_steps": 90, "total_steps": 261, "loss": 0.1811, "accuracy": 0.9453125, "lr": 7.69602102655985e-06, "epoch": 0.34474503231984677, "percentage": 34.48, "elapsed_time": "2:11:20", "remaining_time": "4:09:33", "throughput": 4098.03, "total_tokens": 32295488}
|
| 91 |
+
{"current_steps": 91, "total_steps": 261, "loss": 0.1776, "accuracy": 0.9609375, "lr": 7.643106627931148e-06, "epoch": 0.3485755326789562, "percentage": 34.87, "elapsed_time": "2:12:52", "remaining_time": "4:08:13", "throughput": 4098.46, "total_tokens": 32673984}
|
| 92 |
+
{"current_steps": 92, "total_steps": 261, "loss": 0.2421, "accuracy": 0.9140625, "lr": 7.5897781711723215e-06, "epoch": 0.3524060330380656, "percentage": 35.25, "elapsed_time": "2:14:19", "remaining_time": "4:06:45", "throughput": 4098.94, "total_tokens": 33035968}
|
| 93 |
+
{"current_steps": 93, "total_steps": 261, "loss": 0.2218, "accuracy": 0.921875, "lr": 7.536044010498396e-06, "epoch": 0.356236533397175, "percentage": 35.63, "elapsed_time": "2:15:47", "remaining_time": "4:05:17", "throughput": 4098.65, "total_tokens": 33392192}
|
| 94 |
+
{"current_steps": 94, "total_steps": 261, "loss": 0.1707, "accuracy": 0.9375, "lr": 7.48191256368028e-06, "epoch": 0.3600670337562844, "percentage": 36.02, "elapsed_time": "2:17:13", "remaining_time": "4:03:46", "throughput": 4100.39, "total_tokens": 33758976}
|
| 95 |
+
{"current_steps": 95, "total_steps": 261, "loss": 0.2029, "accuracy": 0.9140625, "lr": 7.427392310726088e-06, "epoch": 0.36389753411539383, "percentage": 36.4, "elapsed_time": "2:18:40", "remaining_time": "4:02:19", "throughput": 4101.05, "total_tokens": 34123840}
|
| 96 |
+
{"current_steps": 96, "total_steps": 261, "loss": 0.1596, "accuracy": 0.9765625, "lr": 7.372491792552694e-06, "epoch": 0.36772803447450325, "percentage": 36.78, "elapsed_time": "2:20:10", "remaining_time": "4:00:55", "throughput": 4099.51, "total_tokens": 34479552}
|
| 97 |
+
{"current_steps": 97, "total_steps": 261, "loss": 0.1881, "accuracy": 0.9453125, "lr": 7.31721960964774e-06, "epoch": 0.3715585348336126, "percentage": 37.16, "elapsed_time": "2:21:37", "remaining_time": "3:59:27", "throughput": 4099.45, "total_tokens": 34835840}
|
| 98 |
+
{"current_steps": 98, "total_steps": 261, "loss": 0.2405, "accuracy": 0.9296875, "lr": 7.261584420722328e-06, "epoch": 0.37538903519272204, "percentage": 37.55, "elapsed_time": "2:23:08", "remaining_time": "3:58:04", "throughput": 4099.72, "total_tokens": 35210176}
|
| 99 |
+
{"current_steps": 99, "total_steps": 261, "loss": 0.195, "accuracy": 0.953125, "lr": 7.20559494135458e-06, "epoch": 0.37921953555183147, "percentage": 37.93, "elapsed_time": "2:24:34", "remaining_time": "3:56:35", "throughput": 4100.18, "total_tokens": 35568576}
|
| 100 |
+
{"current_steps": 100, "total_steps": 261, "loss": 0.186, "accuracy": 0.9375, "lr": 7.149259942624287e-06, "epoch": 0.3830500359109409, "percentage": 38.31, "elapsed_time": "2:26:02", "remaining_time": "3:55:07", "throughput": 4100.38, "total_tokens": 35929024}
|
| 101 |
+
{"current_steps": 101, "total_steps": 261, "loss": 0.1837, "accuracy": 0.9453125, "lr": 7.092588249738871e-06, "epoch": 0.38688053627005026, "percentage": 38.7, "elapsed_time": "2:27:31", "remaining_time": "3:53:42", "throughput": 4100.13, "total_tokens": 36292032}
|
| 102 |
+
{"current_steps": 102, "total_steps": 261, "loss": 0.181, "accuracy": 0.9375, "lr": 7.03558874065087e-06, "epoch": 0.3907110366291597, "percentage": 39.08, "elapsed_time": "2:28:57", "remaining_time": "3:52:11", "throughput": 4100.56, "total_tokens": 36647104}
|
| 103 |
+
{"current_steps": 103, "total_steps": 261, "loss": 0.1815, "accuracy": 0.9453125, "lr": 6.978270344667143e-06, "epoch": 0.3945415369882691, "percentage": 39.46, "elapsed_time": "2:30:21", "remaining_time": "3:50:38", "throughput": 4101.06, "total_tokens": 36996736}
|
| 104 |
+
{"current_steps": 104, "total_steps": 261, "loss": 0.2464, "accuracy": 0.8828125, "lr": 6.920642041050055e-06, "epoch": 0.3983720373473785, "percentage": 39.85, "elapsed_time": "2:31:45", "remaining_time": "3:49:06", "throughput": 4101.87, "total_tokens": 37351296}
|
| 105 |
+
{"current_steps": 105, "total_steps": 261, "loss": 0.128, "accuracy": 0.96875, "lr": 6.862712857610812e-06, "epoch": 0.4022025377064879, "percentage": 40.23, "elapsed_time": "2:33:14", "remaining_time": "3:47:39", "throughput": 4101.58, "total_tokens": 37710464}
|
| 106 |
+
{"current_steps": 106, "total_steps": 261, "loss": 0.1922, "accuracy": 0.953125, "lr": 6.804491869295207e-06, "epoch": 0.4060330380655973, "percentage": 40.61, "elapsed_time": "2:34:42", "remaining_time": "3:46:14", "throughput": 4101.66, "total_tokens": 38075136}
|
| 107 |
+
{"current_steps": 107, "total_steps": 261, "loss": 0.1652, "accuracy": 0.953125, "lr": 6.745988196761976e-06, "epoch": 0.40986353842470674, "percentage": 41.0, "elapsed_time": "2:36:10", "remaining_time": "3:44:46", "throughput": 4102.1, "total_tokens": 38438464}
|
| 108 |
+
{"current_steps": 108, "total_steps": 261, "loss": 0.1384, "accuracy": 0.96875, "lr": 6.687211004953992e-06, "epoch": 0.4136940387838161, "percentage": 41.38, "elapsed_time": "2:37:38", "remaining_time": "3:43:18", "throughput": 4100.87, "total_tokens": 38786112}
|
| 109 |
+
{"current_steps": 109, "total_steps": 261, "loss": 0.1425, "accuracy": 0.9609375, "lr": 6.628169501662527e-06, "epoch": 0.41752453914292553, "percentage": 41.76, "elapsed_time": "2:39:02", "remaining_time": "3:41:47", "throughput": 4101.33, "total_tokens": 39137920}
|
| 110 |
+
{"current_steps": 110, "total_steps": 261, "loss": 0.2094, "accuracy": 0.9296875, "lr": 6.568872936084789e-06, "epoch": 0.42135503950203496, "percentage": 42.15, "elapsed_time": "2:40:31", "remaining_time": "3:40:21", "throughput": 4100.65, "total_tokens": 39496896}
|
| 111 |
+
{"current_steps": 111, "total_steps": 261, "loss": 0.1983, "accuracy": 0.9140625, "lr": 6.509330597374993e-06, "epoch": 0.4251855398611444, "percentage": 42.53, "elapsed_time": "2:41:59", "remaining_time": "3:38:54", "throughput": 4101.22, "total_tokens": 39862784}
|
| 112 |
+
{"current_steps": 112, "total_steps": 261, "loss": 0.2063, "accuracy": 0.90625, "lr": 6.44955181318915e-06, "epoch": 0.42901604022025375, "percentage": 42.91, "elapsed_time": "2:43:29", "remaining_time": "3:37:29", "throughput": 4101.16, "total_tokens": 40229504}
|
| 113 |
+
{"current_steps": 113, "total_steps": 261, "loss": 0.2079, "accuracy": 0.9296875, "lr": 6.389545948223841e-06, "epoch": 0.43284654057936317, "percentage": 43.3, "elapsed_time": "2:44:54", "remaining_time": "3:35:59", "throughput": 4101.1, "total_tokens": 40578304}
|
| 114 |
+
{"current_steps": 114, "total_steps": 261, "loss": 0.1346, "accuracy": 0.96875, "lr": 6.329322402749181e-06, "epoch": 0.4366770409384726, "percentage": 43.68, "elapsed_time": "2:46:19", "remaining_time": "3:34:28", "throughput": 4100.98, "total_tokens": 40926400}
|
| 115 |
+
{"current_steps": 115, "total_steps": 261, "loss": 0.1798, "accuracy": 0.953125, "lr": 6.2688906111362115e-06, "epoch": 0.440507541297582, "percentage": 44.06, "elapsed_time": "2:47:45", "remaining_time": "3:32:59", "throughput": 4101.3, "total_tokens": 41283008}
|
| 116 |
+
{"current_steps": 116, "total_steps": 261, "loss": 0.1762, "accuracy": 0.9296875, "lr": 6.208260040378946e-06, "epoch": 0.4443380416566914, "percentage": 44.44, "elapsed_time": "2:49:08", "remaining_time": "3:31:26", "throughput": 4100.92, "total_tokens": 41619520}
|
| 117 |
+
{"current_steps": 117, "total_steps": 261, "loss": 0.1582, "accuracy": 0.953125, "lr": 6.147440188611324e-06, "epoch": 0.4481685420158008, "percentage": 44.83, "elapsed_time": "2:50:39", "remaining_time": "3:30:02", "throughput": 4100.42, "total_tokens": 41986368}
|
| 118 |
+
{"current_steps": 118, "total_steps": 261, "loss": 0.1576, "accuracy": 0.9453125, "lr": 6.0864405836192575e-06, "epoch": 0.45199904237491023, "percentage": 45.21, "elapsed_time": "2:52:07", "remaining_time": "3:28:35", "throughput": 4100.32, "total_tokens": 42347008}
|
| 119 |
+
{"current_steps": 119, "total_steps": 261, "loss": 0.1499, "accuracy": 0.953125, "lr": 6.025270781348055e-06, "epoch": 0.45582954273401965, "percentage": 45.59, "elapsed_time": "2:53:34", "remaining_time": "3:27:06", "throughput": 4100.05, "total_tokens": 42698240}
|
| 120 |
+
{"current_steps": 120, "total_steps": 261, "loss": 0.1678, "accuracy": 0.9375, "lr": 5.963940364405425e-06, "epoch": 0.459660043093129, "percentage": 45.98, "elapsed_time": "2:54:58", "remaining_time": "3:25:36", "throughput": 4100.5, "total_tokens": 43050688}
|
| 121 |
+
{"current_steps": 121, "total_steps": 261, "loss": 0.1805, "accuracy": 0.921875, "lr": 5.902458940560304e-06, "epoch": 0.46349054345223845, "percentage": 46.36, "elapsed_time": "2:56:26", "remaining_time": "3:24:09", "throughput": 4100.89, "total_tokens": 43415744}
|
| 122 |
+
{"current_steps": 122, "total_steps": 261, "loss": 0.1412, "accuracy": 0.953125, "lr": 5.8408361412377475e-06, "epoch": 0.46732104381134787, "percentage": 46.74, "elapsed_time": "2:57:53", "remaining_time": "3:22:41", "throughput": 4100.71, "total_tokens": 43769984}
|
| 123 |
+
{"current_steps": 123, "total_steps": 261, "loss": 0.1359, "accuracy": 0.9765625, "lr": 5.779081620010104e-06, "epoch": 0.4711515441704573, "percentage": 47.13, "elapsed_time": "2:59:18", "remaining_time": "3:21:10", "throughput": 4101.56, "total_tokens": 44125376}
|
| 124 |
+
{"current_steps": 124, "total_steps": 261, "loss": 0.159, "accuracy": 0.9609375, "lr": 5.717205051084731e-06, "epoch": 0.47498204452956666, "percentage": 47.51, "elapsed_time": "3:00:46", "remaining_time": "3:19:43", "throughput": 4102.36, "total_tokens": 44496896}
|
| 125 |
+
{"current_steps": 125, "total_steps": 261, "loss": 0.1569, "accuracy": 0.9609375, "lr": 5.655216127788472e-06, "epoch": 0.4788125448886761, "percentage": 47.89, "elapsed_time": "3:02:15", "remaining_time": "3:18:17", "throughput": 4102.08, "total_tokens": 44858496}
|
| 126 |
+
{"current_steps": 126, "total_steps": 261, "loss": 0.1527, "accuracy": 0.9609375, "lr": 5.593124561049141e-06, "epoch": 0.4826430452477855, "percentage": 48.28, "elapsed_time": "3:03:41", "remaining_time": "3:16:49", "throughput": 4102.35, "total_tokens": 45215680}
|
| 127 |
+
{"current_steps": 127, "total_steps": 261, "loss": 0.1848, "accuracy": 0.9296875, "lr": 5.530940077874248e-06, "epoch": 0.4864735456068949, "percentage": 48.66, "elapsed_time": "3:05:09", "remaining_time": "3:15:21", "throughput": 4102.52, "total_tokens": 45575872}
|
| 128 |
+
{"current_steps": 128, "total_steps": 261, "loss": 0.1428, "accuracy": 0.9375, "lr": 5.468672419827208e-06, "epoch": 0.4903040459660043, "percentage": 49.04, "elapsed_time": "3:06:39", "remaining_time": "3:13:57", "throughput": 4102.97, "total_tokens": 45951488}
|
| 129 |
+
{"current_steps": 129, "total_steps": 261, "loss": 0.1905, "accuracy": 0.9296875, "lr": 5.406331341501264e-06, "epoch": 0.4941345463251137, "percentage": 49.43, "elapsed_time": "3:08:10", "remaining_time": "3:12:33", "throughput": 4101.9, "total_tokens": 46313472}
|
| 130 |
+
{"current_steps": 130, "total_steps": 261, "loss": 0.1683, "accuracy": 0.953125, "lr": 5.34392660899138e-06, "epoch": 0.49796504668422314, "percentage": 49.81, "elapsed_time": "3:09:42", "remaining_time": "3:11:09", "throughput": 4101.42, "total_tokens": 46683136}
|
| 131 |
+
{"current_steps": 131, "total_steps": 261, "loss": 0.1818, "accuracy": 0.921875, "lr": 5.281467998364314e-06, "epoch": 0.5017955470433325, "percentage": 50.19, "elapsed_time": "3:11:06", "remaining_time": "3:09:38", "throughput": 4101.81, "total_tokens": 47033152}
|
| 132 |
+
{"current_steps": 132, "total_steps": 261, "loss": 0.1355, "accuracy": 0.96875, "lr": 5.218965294127155e-06, "epoch": 0.505626047402442, "percentage": 50.57, "elapsed_time": "3:12:37", "remaining_time": "3:08:15", "throughput": 4101.8, "total_tokens": 47407552}
|
| 133 |
+
{"current_steps": 133, "total_steps": 261, "loss": 0.1517, "accuracy": 0.9609375, "lr": 5.156428287694508e-06, "epoch": 0.5094565477615514, "percentage": 50.96, "elapsed_time": "3:14:10", "remaining_time": "3:06:52", "throughput": 4100.87, "total_tokens": 47777088}
|
| 134 |
+
{"current_steps": 134, "total_steps": 261, "loss": 0.1486, "accuracy": 0.9453125, "lr": 5.093866775854618e-06, "epoch": 0.5132870481206607, "percentage": 51.34, "elapsed_time": "3:15:40", "remaining_time": "3:05:26", "throughput": 4101.0, "total_tokens": 48146176}
|
| 135 |
+
{"current_steps": 135, "total_steps": 261, "loss": 0.1411, "accuracy": 0.9609375, "lr": 5.03129055923465e-06, "epoch": 0.5171175484797702, "percentage": 51.72, "elapsed_time": "3:17:05", "remaining_time": "3:03:57", "throughput": 4102.23, "total_tokens": 48511488}
|
| 136 |
+
{"current_steps": 136, "total_steps": 261, "loss": 0.1288, "accuracy": 0.953125, "lr": 4.968709440765352e-06, "epoch": 0.5209480488388796, "percentage": 52.11, "elapsed_time": "3:18:28", "remaining_time": "3:02:24", "throughput": 4103.3, "total_tokens": 48862336}
|
| 137 |
+
{"current_steps": 137, "total_steps": 261, "loss": 0.1461, "accuracy": 0.96875, "lr": 4.906133224145384e-06, "epoch": 0.5247785491979889, "percentage": 52.49, "elapsed_time": "3:19:56", "remaining_time": "3:00:58", "throughput": 4103.41, "total_tokens": 49226048}
|
| 138 |
+
{"current_steps": 138, "total_steps": 261, "loss": 0.1788, "accuracy": 0.9453125, "lr": 4.843571712305493e-06, "epoch": 0.5286090495570984, "percentage": 52.87, "elapsed_time": "3:21:23", "remaining_time": "2:59:29", "throughput": 4103.32, "total_tokens": 49581888}
|
| 139 |
+
{"current_steps": 139, "total_steps": 261, "loss": 0.1061, "accuracy": 0.9921875, "lr": 4.781034705872846e-06, "epoch": 0.5324395499162078, "percentage": 53.26, "elapsed_time": "3:22:49", "remaining_time": "2:58:01", "throughput": 4103.42, "total_tokens": 49936512}
|
| 140 |
+
{"current_steps": 140, "total_steps": 261, "loss": 0.1376, "accuracy": 0.9609375, "lr": 4.7185320016356865e-06, "epoch": 0.5362700502753173, "percentage": 53.64, "elapsed_time": "3:24:18", "remaining_time": "2:56:35", "throughput": 4103.95, "total_tokens": 50309824}
|
| 141 |
+
{"current_steps": 141, "total_steps": 261, "loss": 0.1519, "accuracy": 0.9453125, "lr": 4.656073391008622e-06, "epoch": 0.5401005506344266, "percentage": 54.02, "elapsed_time": "3:25:41", "remaining_time": "2:55:03", "throughput": 4104.79, "total_tokens": 50659712}
|
| 142 |
+
{"current_steps": 142, "total_steps": 261, "loss": 0.1491, "accuracy": 0.9375, "lr": 4.593668658498737e-06, "epoch": 0.543931050993536, "percentage": 54.41, "elapsed_time": "3:27:06", "remaining_time": "2:53:34", "throughput": 4105.7, "total_tokens": 51020992}
|
| 143 |
+
{"current_steps": 143, "total_steps": 261, "loss": 0.1244, "accuracy": 0.9609375, "lr": 4.531327580172794e-06, "epoch": 0.5477615513526455, "percentage": 54.79, "elapsed_time": "3:28:34", "remaining_time": "2:52:06", "throughput": 4105.68, "total_tokens": 51378624}
|
| 144 |
+
{"current_steps": 144, "total_steps": 261, "loss": 0.1593, "accuracy": 0.9453125, "lr": 4.469059922125753e-06, "epoch": 0.5515920517117548, "percentage": 55.17, "elapsed_time": "3:30:05", "remaining_time": "2:50:41", "throughput": 4106.18, "total_tokens": 51760384}
|
| 145 |
+
{"current_steps": 145, "total_steps": 261, "loss": 0.1374, "accuracy": 0.9453125, "lr": 4.4068754389508616e-06, "epoch": 0.5554225520708642, "percentage": 55.56, "elapsed_time": "3:31:29", "remaining_time": "2:49:11", "throughput": 4106.93, "total_tokens": 52114304}
|
| 146 |
+
{"current_steps": 146, "total_steps": 261, "loss": 0.1643, "accuracy": 0.9296875, "lr": 4.34478387221153e-06, "epoch": 0.5592530524299737, "percentage": 55.94, "elapsed_time": "3:32:59", "remaining_time": "2:47:46", "throughput": 4107.03, "total_tokens": 52486784}
|
| 147 |
+
{"current_steps": 147, "total_steps": 261, "loss": 0.0999, "accuracy": 0.9765625, "lr": 4.282794948915271e-06, "epoch": 0.5630835527890831, "percentage": 56.32, "elapsed_time": "3:34:23", "remaining_time": "2:46:15", "throughput": 4107.12, "total_tokens": 52831680}
|
| 148 |
+
{"current_steps": 148, "total_steps": 261, "loss": 0.1095, "accuracy": 0.9609375, "lr": 4.220918379989898e-06, "epoch": 0.5669140531481924, "percentage": 56.7, "elapsed_time": "3:35:45", "remaining_time": "2:44:44", "throughput": 4107.58, "total_tokens": 53175680}
|
| 149 |
+
{"current_steps": 149, "total_steps": 261, "loss": 0.1384, "accuracy": 0.953125, "lr": 4.159163858762255e-06, "epoch": 0.5707445535073019, "percentage": 57.09, "elapsed_time": "3:37:13", "remaining_time": "2:43:17", "throughput": 4107.57, "total_tokens": 53537024}
|
| 150 |
+
{"current_steps": 150, "total_steps": 261, "loss": 0.1174, "accuracy": 0.96875, "lr": 4.097541059439698e-06, "epoch": 0.5745750538664113, "percentage": 57.47, "elapsed_time": "3:38:38", "remaining_time": "2:41:47", "throughput": 4108.2, "total_tokens": 53894528}
|
| 151 |
+
{"current_steps": 151, "total_steps": 261, "loss": 0.1603, "accuracy": 0.9609375, "lr": 4.036059635594578e-06, "epoch": 0.5784055542255208, "percentage": 57.85, "elapsed_time": "3:40:07", "remaining_time": "2:40:21", "throughput": 4108.47, "total_tokens": 54262848}
|
| 152 |
+
{"current_steps": 152, "total_steps": 261, "loss": 0.1102, "accuracy": 0.96875, "lr": 3.974729218651946e-06, "epoch": 0.5822360545846301, "percentage": 58.24, "elapsed_time": "3:41:38", "remaining_time": "2:38:56", "throughput": 4108.42, "total_tokens": 54635776}
|
| 153 |
+
{"current_steps": 153, "total_steps": 261, "loss": 0.1277, "accuracy": 0.9609375, "lr": 3.913559416380743e-06, "epoch": 0.5860665549437395, "percentage": 58.62, "elapsed_time": "3:43:08", "remaining_time": "2:37:30", "throughput": 4107.96, "total_tokens": 54999744}
|
| 154 |
+
{"current_steps": 154, "total_steps": 261, "loss": 0.0814, "accuracy": 0.96875, "lr": 3.852559811388676e-06, "epoch": 0.589897055302849, "percentage": 59.0, "elapsed_time": "3:44:31", "remaining_time": "2:35:59", "throughput": 4107.82, "total_tokens": 55337280}
|
| 155 |
+
{"current_steps": 155, "total_steps": 261, "loss": 0.1583, "accuracy": 0.96875, "lr": 3.791739959621054e-06, "epoch": 0.5937275556619583, "percentage": 59.39, "elapsed_time": "3:46:03", "remaining_time": "2:34:35", "throughput": 4106.66, "total_tokens": 55702336}
|
| 156 |
+
{"current_steps": 156, "total_steps": 261, "loss": 0.1345, "accuracy": 0.9453125, "lr": 3.7311093888637906e-06, "epoch": 0.5975580560210677, "percentage": 59.77, "elapsed_time": "3:47:35", "remaining_time": "2:33:11", "throughput": 4106.07, "total_tokens": 56070336}
|
| 157 |
+
{"current_steps": 157, "total_steps": 261, "loss": 0.1229, "accuracy": 0.953125, "lr": 3.670677597250819e-06, "epoch": 0.6013885563801772, "percentage": 60.15, "elapsed_time": "3:49:04", "remaining_time": "2:31:44", "throughput": 4105.6, "total_tokens": 56428800}
|
| 158 |
+
{"current_steps": 158, "total_steps": 261, "loss": 0.1324, "accuracy": 0.9375, "lr": 3.6104540517761594e-06, "epoch": 0.6052190567392866, "percentage": 60.54, "elapsed_time": "3:50:29", "remaining_time": "2:30:15", "throughput": 4105.85, "total_tokens": 56783040}
|
| 159 |
+
{"current_steps": 159, "total_steps": 261, "loss": 0.0872, "accuracy": 0.9765625, "lr": 3.55044818681085e-06, "epoch": 0.609049557098396, "percentage": 60.92, "elapsed_time": "3:51:57", "remaining_time": "2:28:47", "throughput": 4106.16, "total_tokens": 57145920}
|
| 160 |
+
{"current_steps": 160, "total_steps": 261, "loss": 0.1244, "accuracy": 0.9609375, "lr": 3.4906694026250075e-06, "epoch": 0.6128800574575054, "percentage": 61.3, "elapsed_time": "3:53:23", "remaining_time": "2:27:19", "throughput": 4106.31, "total_tokens": 57502528}
|
| 161 |
+
{"current_steps": 161, "total_steps": 261, "loss": 0.1404, "accuracy": 0.9453125, "lr": 3.431127063915213e-06, "epoch": 0.6167105578166148, "percentage": 61.69, "elapsed_time": "3:54:49", "remaining_time": "2:25:51", "throughput": 4106.85, "total_tokens": 57864896}
|
| 162 |
+
{"current_steps": 162, "total_steps": 261, "loss": 0.0902, "accuracy": 0.9765625, "lr": 3.371830498337475e-06, "epoch": 0.6205410581757242, "percentage": 62.07, "elapsed_time": "3:56:18", "remaining_time": "2:24:24", "throughput": 4106.03, "total_tokens": 58218496}
|
| 163 |
+
{"current_steps": 163, "total_steps": 261, "loss": 0.1118, "accuracy": 0.9609375, "lr": 3.3127889950460094e-06, "epoch": 0.6243715585348336, "percentage": 62.45, "elapsed_time": "3:57:41", "remaining_time": "2:22:54", "throughput": 4106.27, "total_tokens": 58561152}
|
| 164 |
+
{"current_steps": 164, "total_steps": 261, "loss": 0.154, "accuracy": 0.9453125, "lr": 3.254011803238026e-06, "epoch": 0.628202058893943, "percentage": 62.84, "elapsed_time": "3:59:10", "remaining_time": "2:21:27", "throughput": 4106.26, "total_tokens": 58925504}
|
| 165 |
+
{"current_steps": 165, "total_steps": 261, "loss": 0.1232, "accuracy": 0.96875, "lr": 3.195508130704795e-06, "epoch": 0.6320325592530525, "percentage": 63.22, "elapsed_time": "4:00:33", "remaining_time": "2:19:57", "throughput": 4106.45, "total_tokens": 59269120}
|
| 166 |
+
{"current_steps": 166, "total_steps": 261, "loss": 0.1412, "accuracy": 0.9609375, "lr": 3.1372871423891894e-06, "epoch": 0.6358630596121618, "percentage": 63.6, "elapsed_time": "4:01:58", "remaining_time": "2:18:28", "throughput": 4106.69, "total_tokens": 59620928}
|
| 167 |
+
{"current_steps": 167, "total_steps": 261, "loss": 0.0887, "accuracy": 0.9765625, "lr": 3.079357958949946e-06, "epoch": 0.6396935599712712, "percentage": 63.98, "elapsed_time": "4:03:21", "remaining_time": "2:16:58", "throughput": 4107.34, "total_tokens": 59974656}
|
| 168 |
+
{"current_steps": 168, "total_steps": 261, "loss": 0.1555, "accuracy": 0.953125, "lr": 3.021729655332858e-06, "epoch": 0.6435240603303807, "percentage": 64.37, "elapsed_time": "4:04:46", "remaining_time": "2:15:29", "throughput": 4107.93, "total_tokens": 60329216}
|
| 169 |
+
{"current_steps": 169, "total_steps": 261, "loss": 0.086, "accuracy": 0.9765625, "lr": 2.9644112593491315e-06, "epoch": 0.64735456068949, "percentage": 64.75, "elapsed_time": "4:06:13", "remaining_time": "2:14:02", "throughput": 4107.67, "total_tokens": 60686464}
|
| 170 |
+
{"current_steps": 170, "total_steps": 261, "loss": 0.134, "accuracy": 0.9375, "lr": 2.90741175026113e-06, "epoch": 0.6511850610485995, "percentage": 65.13, "elapsed_time": "4:07:41", "remaining_time": "2:12:35", "throughput": 4107.75, "total_tokens": 61046144}
|
| 171 |
+
{"current_steps": 171, "total_steps": 261, "loss": 0.1397, "accuracy": 0.953125, "lr": 2.850740057375716e-06, "epoch": 0.6550155614077089, "percentage": 65.52, "elapsed_time": "4:09:07", "remaining_time": "2:11:06", "throughput": 4107.49, "total_tokens": 61395776}
|
| 172 |
+
{"current_steps": 172, "total_steps": 261, "loss": 0.1393, "accuracy": 0.9296875, "lr": 2.7944050586454215e-06, "epoch": 0.6588460617668183, "percentage": 65.9, "elapsed_time": "4:10:31", "remaining_time": "2:09:38", "throughput": 4107.22, "total_tokens": 61739072}
|
| 173 |
+
{"current_steps": 173, "total_steps": 261, "loss": 0.107, "accuracy": 0.9609375, "lr": 2.7384155792776724e-06, "epoch": 0.6626765621259277, "percentage": 66.28, "elapsed_time": "4:11:56", "remaining_time": "2:08:09", "throughput": 4107.67, "total_tokens": 62091840}
|
| 174 |
+
{"current_steps": 174, "total_steps": 261, "loss": 0.1178, "accuracy": 0.9609375, "lr": 2.682780390352262e-06, "epoch": 0.6665070624850371, "percentage": 66.67, "elapsed_time": "4:13:24", "remaining_time": "2:06:42", "throughput": 4107.51, "total_tokens": 62452416}
|
| 175 |
+
{"current_steps": 175, "total_steps": 261, "loss": 0.1382, "accuracy": 0.9453125, "lr": 2.627508207447308e-06, "epoch": 0.6703375628441465, "percentage": 67.05, "elapsed_time": "4:14:55", "remaining_time": "2:05:16", "throughput": 4107.5, "total_tokens": 62826432}
|
| 176 |
+
{"current_steps": 176, "total_steps": 261, "loss": 0.1451, "accuracy": 0.9453125, "lr": 2.5726076892739127e-06, "epoch": 0.674168063203256, "percentage": 67.43, "elapsed_time": "4:16:22", "remaining_time": "2:03:49", "throughput": 4107.81, "total_tokens": 63188736}
|
| 177 |
+
{"current_steps": 177, "total_steps": 261, "loss": 0.1113, "accuracy": 0.9765625, "lr": 2.5180874363197217e-06, "epoch": 0.6779985635623653, "percentage": 67.82, "elapsed_time": "4:17:51", "remaining_time": "2:02:22", "throughput": 4108.19, "total_tokens": 63559040}
|
| 178 |
+
{"current_steps": 178, "total_steps": 261, "loss": 0.1304, "accuracy": 0.9609375, "lr": 2.463955989501607e-06, "epoch": 0.6818290639214747, "percentage": 68.2, "elapsed_time": "4:19:18", "remaining_time": "2:00:54", "throughput": 4108.19, "total_tokens": 63918080}
|
| 179 |
+
{"current_steps": 179, "total_steps": 261, "loss": 0.1064, "accuracy": 0.9765625, "lr": 2.41022182882768e-06, "epoch": 0.6856595642805842, "percentage": 68.58, "elapsed_time": "4:20:41", "remaining_time": "1:59:25", "throughput": 4108.51, "total_tokens": 64264384}
|
| 180 |
+
{"current_steps": 180, "total_steps": 261, "loss": 0.1286, "accuracy": 0.9453125, "lr": 2.356893372068855e-06, "epoch": 0.6894900646396935, "percentage": 68.97, "elapsed_time": "4:22:08", "remaining_time": "1:57:57", "throughput": 4108.91, "total_tokens": 64627520}
|
| 181 |
+
{"current_steps": 181, "total_steps": 261, "loss": 0.1146, "accuracy": 0.96875, "lr": 2.3039789734401524e-06, "epoch": 0.693320564998803, "percentage": 69.35, "elapsed_time": "4:23:35", "remaining_time": "1:56:30", "throughput": 4108.91, "total_tokens": 64985472}
|
| 182 |
+
{"current_steps": 182, "total_steps": 261, "loss": 0.1146, "accuracy": 0.96875, "lr": 2.251486922291957e-06, "epoch": 0.6971510653579124, "percentage": 69.73, "elapsed_time": "4:24:59", "remaining_time": "1:55:01", "throughput": 4109.14, "total_tokens": 65333056}
|
| 183 |
+
{"current_steps": 183, "total_steps": 261, "loss": 0.1325, "accuracy": 0.9453125, "lr": 2.1994254418114524e-06, "epoch": 0.7009815657170217, "percentage": 70.11, "elapsed_time": "4:26:29", "remaining_time": "1:53:35", "throughput": 4108.96, "total_tokens": 65701376}
|
| 184 |
+
{"current_steps": 184, "total_steps": 261, "loss": 0.1278, "accuracy": 0.953125, "lr": 2.147802687734409e-06, "epoch": 0.7048120660761312, "percentage": 70.5, "elapsed_time": "4:27:57", "remaining_time": "1:52:08", "throughput": 4108.72, "total_tokens": 66057152}
|
| 185 |
+
{"current_steps": 185, "total_steps": 261, "loss": 0.1137, "accuracy": 0.9609375, "lr": 2.0966267470675273e-06, "epoch": 0.7086425664352406, "percentage": 70.88, "elapsed_time": "4:29:24", "remaining_time": "1:50:40", "throughput": 4108.71, "total_tokens": 66413248}
|
| 186 |
+
{"current_steps": 186, "total_steps": 261, "loss": 0.1468, "accuracy": 0.921875, "lr": 2.0459056368215786e-06, "epoch": 0.71247306679435, "percentage": 71.26, "elapsed_time": "4:30:51", "remaining_time": "1:49:12", "throughput": 4109.05, "total_tokens": 66777600}
|
| 187 |
+
{"current_steps": 187, "total_steps": 261, "loss": 0.1509, "accuracy": 0.953125, "lr": 1.9956473027554846e-06, "epoch": 0.7163035671534594, "percentage": 71.65, "elapsed_time": "4:32:18", "remaining_time": "1:47:45", "throughput": 4108.46, "total_tokens": 67126784}
|
| 188 |
+
{"current_steps": 188, "total_steps": 261, "loss": 0.1212, "accuracy": 0.96875, "lr": 1.9458596181315643e-06, "epoch": 0.7201340675125688, "percentage": 72.03, "elapsed_time": "4:33:45", "remaining_time": "1:46:17", "throughput": 4108.67, "total_tokens": 67486848}
|
| 189 |
+
{"current_steps": 189, "total_steps": 261, "loss": 0.1096, "accuracy": 0.9609375, "lr": 1.8965503824821496e-06, "epoch": 0.7239645678716783, "percentage": 72.41, "elapsed_time": "4:35:10", "remaining_time": "1:44:49", "throughput": 4108.35, "total_tokens": 67830400}
|
| 190 |
+
{"current_steps": 190, "total_steps": 261, "loss": 0.156, "accuracy": 0.9453125, "lr": 1.84772732038774e-06, "epoch": 0.7277950682307877, "percentage": 72.8, "elapsed_time": "4:36:35", "remaining_time": "1:43:21", "throughput": 4108.7, "total_tokens": 68184448}
|
| 191 |
+
{"current_steps": 191, "total_steps": 261, "loss": 0.105, "accuracy": 0.96875, "lr": 1.7993980802668947e-06, "epoch": 0.731625568589897, "percentage": 73.18, "elapsed_time": "4:38:02", "remaining_time": "1:41:54", "throughput": 4108.25, "total_tokens": 68536640}
|
| 192 |
+
{"current_steps": 192, "total_steps": 261, "loss": 0.124, "accuracy": 0.9765625, "lr": 1.7515702331780753e-06, "epoch": 0.7354560689490065, "percentage": 73.56, "elapsed_time": "4:39:26", "remaining_time": "1:40:25", "throughput": 4108.35, "total_tokens": 68881216}
|
| 193 |
+
{"current_steps": 193, "total_steps": 261, "loss": 0.1209, "accuracy": 0.96875, "lr": 1.7042512716335873e-06, "epoch": 0.7392865693081159, "percentage": 73.95, "elapsed_time": "4:40:56", "remaining_time": "1:38:59", "throughput": 4108.62, "total_tokens": 69258368}
|
| 194 |
+
{"current_steps": 194, "total_steps": 261, "loss": 0.1065, "accuracy": 0.9609375, "lr": 1.6574486084258369e-06, "epoch": 0.7431170696672252, "percentage": 74.33, "elapsed_time": "4:42:25", "remaining_time": "1:37:32", "throughput": 4108.27, "total_tokens": 69617152}
|
| 195 |
+
{"current_steps": 195, "total_steps": 261, "loss": 0.1183, "accuracy": 0.9609375, "lr": 1.6111695754660667e-06, "epoch": 0.7469475700263347, "percentage": 74.71, "elapsed_time": "4:43:54", "remaining_time": "1:36:05", "throughput": 4107.99, "total_tokens": 69979072}
|
| 196 |
+
{"current_steps": 196, "total_steps": 261, "loss": 0.0792, "accuracy": 0.9921875, "lr": 1.5654214226357822e-06, "epoch": 0.7507780703854441, "percentage": 75.1, "elapsed_time": "4:45:21", "remaining_time": "1:34:38", "throughput": 4108.54, "total_tokens": 70344768}
|
| 197 |
+
{"current_steps": 197, "total_steps": 261, "loss": 0.1402, "accuracy": 0.9453125, "lr": 1.5202113166510058e-06, "epoch": 0.7546085707445535, "percentage": 75.48, "elapsed_time": "4:46:53", "remaining_time": "1:33:12", "throughput": 4108.56, "total_tokens": 70721984}
|
| 198 |
+
{"current_steps": 198, "total_steps": 261, "loss": 0.0939, "accuracy": 0.9765625, "lr": 1.475546339939568e-06, "epoch": 0.7584390711036629, "percentage": 75.86, "elapsed_time": "4:48:21", "remaining_time": "1:31:44", "throughput": 4108.5, "total_tokens": 71082368}
|
| 199 |
+
{"current_steps": 199, "total_steps": 261, "loss": 0.1234, "accuracy": 0.96875, "lr": 1.4314334895316095e-06, "epoch": 0.7622695714627723, "percentage": 76.25, "elapsed_time": "4:49:49", "remaining_time": "1:30:17", "throughput": 4108.13, "total_tokens": 71436928}
|
| 200 |
+
{"current_steps": 200, "total_steps": 261, "loss": 0.1007, "accuracy": 0.984375, "lr": 1.3878796759634544e-06, "epoch": 0.7661000718218818, "percentage": 76.63, "elapsed_time": "4:51:20", "remaining_time": "1:28:51", "throughput": 4107.49, "total_tokens": 71801024}
|
| 201 |
+
{"current_steps": 201, "total_steps": 261, "loss": 0.1182, "accuracy": 0.96875, "lr": 1.3448917221950264e-06, "epoch": 0.7699305721809911, "percentage": 77.01, "elapsed_time": "4:52:50", "remaining_time": "1:27:24", "throughput": 4107.64, "total_tokens": 72172800}
|
| 202 |
+
{"current_steps": 202, "total_steps": 261, "loss": 0.0918, "accuracy": 0.9765625, "lr": 1.3024763625410025e-06, "epoch": 0.7737610725401005, "percentage": 77.39, "elapsed_time": "4:54:18", "remaining_time": "1:25:57", "throughput": 4107.65, "total_tokens": 72536000}
|
| 203 |
+
{"current_steps": 203, "total_steps": 261, "loss": 0.1069, "accuracy": 0.984375, "lr": 1.2606402416158391e-06, "epoch": 0.77759157289921, "percentage": 77.78, "elapsed_time": "4:55:48", "remaining_time": "1:24:30", "throughput": 4107.51, "total_tokens": 72900672}
|
| 204 |
+
{"current_steps": 204, "total_steps": 261, "loss": 0.1164, "accuracy": 0.96875, "lr": 1.2193899132928539e-06, "epoch": 0.7814220732583194, "percentage": 78.16, "elapsed_time": "4:57:11", "remaining_time": "1:23:02", "throughput": 4107.43, "total_tokens": 73242240}
|
| 205 |
+
{"current_steps": 205, "total_steps": 261, "loss": 0.1268, "accuracy": 0.953125, "lr": 1.1787318396775188e-06, "epoch": 0.7852525736174287, "percentage": 78.54, "elapsed_time": "4:58:39", "remaining_time": "1:21:35", "throughput": 4107.39, "total_tokens": 73604288}
|
| 206 |
+
{"current_steps": 206, "total_steps": 261, "loss": 0.1272, "accuracy": 0.9453125, "lr": 1.138672390095143e-06, "epoch": 0.7890830739765382, "percentage": 78.93, "elapsed_time": "5:00:04", "remaining_time": "1:20:06", "throughput": 4107.6, "total_tokens": 73953984}
|
| 207 |
+
{"current_steps": 207, "total_steps": 261, "loss": 0.1464, "accuracy": 0.9609375, "lr": 1.0992178400930753e-06, "epoch": 0.7929135743356476, "percentage": 79.31, "elapsed_time": "5:01:33", "remaining_time": "1:18:40", "throughput": 4107.63, "total_tokens": 74322752}
|
| 208 |
+
{"current_steps": 208, "total_steps": 261, "loss": 0.0975, "accuracy": 0.96875, "lr": 1.0603743704575992e-06, "epoch": 0.796744074694757, "percentage": 79.69, "elapsed_time": "5:03:04", "remaining_time": "1:17:13", "throughput": 4107.5, "total_tokens": 74692672}
|
| 209 |
+
{"current_steps": 209, "total_steps": 261, "loss": 0.1429, "accuracy": 0.96875, "lr": 1.0221480662456845e-06, "epoch": 0.8005745750538664, "percentage": 80.08, "elapsed_time": "5:04:30", "remaining_time": "1:15:45", "throughput": 4107.48, "total_tokens": 75043648}
|
| 210 |
+
{"current_steps": 210, "total_steps": 261, "loss": 0.1222, "accuracy": 0.96875, "lr": 9.845449158317216e-07, "epoch": 0.8044050754129758, "percentage": 80.46, "elapsed_time": "5:05:58", "remaining_time": "1:14:18", "throughput": 4107.58, "total_tokens": 75408832}
|
| 211 |
+
{"current_steps": 211, "total_steps": 261, "loss": 0.09, "accuracy": 0.984375, "lr": 9.475708099694125e-07, "epoch": 0.8082355757720853, "percentage": 80.84, "elapsed_time": "5:07:28", "remaining_time": "1:12:51", "throughput": 4106.95, "total_tokens": 75767744}
|
| 212 |
+
{"current_steps": 212, "total_steps": 261, "loss": 0.151, "accuracy": 0.9453125, "lr": 9.112315408689415e-07, "epoch": 0.8120660761311946, "percentage": 81.23, "elapsed_time": "5:08:58", "remaining_time": "1:11:24", "throughput": 4107.26, "total_tokens": 76143744}
|
| 213 |
+
{"current_steps": 213, "total_steps": 261, "loss": 0.1176, "accuracy": 0.9609375, "lr": 8.755328012896002e-07, "epoch": 0.815896576490304, "percentage": 81.61, "elapsed_time": "5:10:24", "remaining_time": "1:09:57", "throughput": 4107.0, "total_tokens": 76490112}
|
| 214 |
+
{"current_steps": 214, "total_steps": 261, "loss": 0.1373, "accuracy": 0.9609375, "lr": 8.404801836479809e-07, "epoch": 0.8197270768494135, "percentage": 81.99, "elapsed_time": "5:11:54", "remaining_time": "1:08:30", "throughput": 4107.32, "total_tokens": 76866048}
|
| 215 |
+
{"current_steps": 215, "total_steps": 261, "loss": 0.1295, "accuracy": 0.9453125, "lr": 8.060791791418887e-07, "epoch": 0.8235575772085229, "percentage": 82.38, "elapsed_time": "5:13:26", "remaining_time": "1:07:03", "throughput": 4106.8, "total_tokens": 77235840}
|
| 216 |
+
{"current_steps": 216, "total_steps": 261, "loss": 0.1176, "accuracy": 0.9765625, "lr": 7.723351768901172e-07, "epoch": 0.8273880775676322, "percentage": 82.76, "elapsed_time": "5:14:53", "remaining_time": "1:05:36", "throughput": 4106.77, "total_tokens": 77590592}
|
| 217 |
+
{"current_steps": 217, "total_steps": 261, "loss": 0.1177, "accuracy": 0.9609375, "lr": 7.392534630882092e-07, "epoch": 0.8312185779267417, "percentage": 83.14, "elapsed_time": "5:16:20", "remaining_time": "1:04:08", "throughput": 4106.76, "total_tokens": 77947072}
|
| 218 |
+
{"current_steps": 218, "total_steps": 261, "loss": 0.1055, "accuracy": 0.953125, "lr": 7.06839220180342e-07, "epoch": 0.8350490782858511, "percentage": 83.52, "elapsed_time": "5:17:45", "remaining_time": "1:02:40", "throughput": 4106.77, "total_tokens": 78299264}
|
| 219 |
+
{"current_steps": 219, "total_steps": 261, "loss": 0.1392, "accuracy": 0.9609375, "lr": 6.750975260474718e-07, "epoch": 0.8388795786449605, "percentage": 83.91, "elapsed_time": "5:19:11", "remaining_time": "1:01:12", "throughput": 4107.21, "total_tokens": 78658112}
|
| 220 |
+
{"current_steps": 220, "total_steps": 261, "loss": 0.1061, "accuracy": 0.9765625, "lr": 6.440333532118503e-07, "epoch": 0.8427100790040699, "percentage": 84.29, "elapsed_time": "5:20:41", "remaining_time": "0:59:45", "throughput": 4106.81, "total_tokens": 79021824}
|
| 221 |
+
{"current_steps": 221, "total_steps": 261, "loss": 0.0769, "accuracy": 0.984375, "lr": 6.136515680580479e-07, "epoch": 0.8465405793631793, "percentage": 84.67, "elapsed_time": "5:22:08", "remaining_time": "0:58:18", "throughput": 4106.74, "total_tokens": 79377856}
|
| 222 |
+
{"current_steps": 222, "total_steps": 261, "loss": 0.0993, "accuracy": 0.9609375, "lr": 5.839569300706127e-07, "epoch": 0.8503710797222888, "percentage": 85.06, "elapsed_time": "5:23:35", "remaining_time": "0:56:50", "throughput": 4106.74, "total_tokens": 79735616}
|
| 223 |
+
{"current_steps": 223, "total_steps": 261, "loss": 0.0954, "accuracy": 0.96875, "lr": 5.549540910884649e-07, "epoch": 0.8542015800813981, "percentage": 85.44, "elapsed_time": "5:25:06", "remaining_time": "0:55:24", "throughput": 4106.46, "total_tokens": 80104704}
|
| 224 |
+
{"current_steps": 224, "total_steps": 261, "loss": 0.0731, "accuracy": 0.9921875, "lr": 5.266475945761562e-07, "epoch": 0.8580320804405075, "percentage": 85.82, "elapsed_time": "5:26:29", "remaining_time": "0:53:55", "throughput": 4106.86, "total_tokens": 80450752}
|
| 225 |
+
{"current_steps": 225, "total_steps": 261, "loss": 0.1237, "accuracy": 0.96875, "lr": 4.990418749121179e-07, "epoch": 0.861862580799617, "percentage": 86.21, "elapsed_time": "5:27:57", "remaining_time": "0:52:28", "throughput": 4107.09, "total_tokens": 80818432}
|
| 226 |
+
{"current_steps": 226, "total_steps": 261, "loss": 0.0816, "accuracy": 0.9765625, "lr": 4.721412566939804e-07, "epoch": 0.8656930811587263, "percentage": 86.59, "elapsed_time": "5:29:24", "remaining_time": "0:51:00", "throughput": 4107.05, "total_tokens": 81175296}
|
| 227 |
+
{"current_steps": 227, "total_steps": 261, "loss": 0.1063, "accuracy": 0.9609375, "lr": 4.4594995406110785e-07, "epoch": 0.8695235815178358, "percentage": 86.97, "elapsed_time": "5:30:53", "remaining_time": "0:49:33", "throughput": 4106.61, "total_tokens": 81528576}
|
| 228 |
+
{"current_steps": 228, "total_steps": 261, "loss": 0.1303, "accuracy": 0.9609375, "lr": 4.2047207003442003e-07, "epoch": 0.8733540818769452, "percentage": 87.36, "elapsed_time": "5:32:22", "remaining_time": "0:48:06", "throughput": 4106.4, "total_tokens": 81893888}
|
| 229 |
+
{"current_steps": 229, "total_steps": 261, "loss": 0.1263, "accuracy": 0.9453125, "lr": 3.957115958736374e-07, "epoch": 0.8771845822360546, "percentage": 87.74, "elapsed_time": "5:33:41", "remaining_time": "0:46:37", "throughput": 4106.6, "total_tokens": 82220416}
|
| 230 |
+
{"current_steps": 230, "total_steps": 261, "loss": 0.1151, "accuracy": 0.9609375, "lr": 3.7167241045202474e-07, "epoch": 0.881015082595164, "percentage": 88.12, "elapsed_time": "5:35:08", "remaining_time": "0:45:10", "throughput": 4106.82, "total_tokens": 82582784}
|
| 231 |
+
{"current_steps": 231, "total_steps": 261, "loss": 0.0953, "accuracy": 0.9765625, "lr": 3.483582796487395e-07, "epoch": 0.8848455829542734, "percentage": 88.51, "elapsed_time": "5:36:38", "remaining_time": "0:43:43", "throughput": 4106.55, "total_tokens": 82945856}
|
| 232 |
+
{"current_steps": 232, "total_steps": 261, "loss": 0.1001, "accuracy": 0.9765625, "lr": 3.257728557588902e-07, "epoch": 0.8886760833133828, "percentage": 88.89, "elapsed_time": "5:38:09", "remaining_time": "0:42:16", "throughput": 4106.76, "total_tokens": 83325760}
|
| 233 |
+
{"current_steps": 233, "total_steps": 261, "loss": 0.0911, "accuracy": 0.984375, "lr": 3.039196769213787e-07, "epoch": 0.8925065836724922, "percentage": 89.27, "elapsed_time": "5:39:35", "remaining_time": "0:40:48", "throughput": 4107.17, "total_tokens": 83684032}
|
| 234 |
+
{"current_steps": 234, "total_steps": 261, "loss": 0.1165, "accuracy": 0.96875, "lr": 2.828021665646341e-07, "epoch": 0.8963370840316016, "percentage": 89.66, "elapsed_time": "5:41:04", "remaining_time": "0:39:21", "throughput": 4107.55, "total_tokens": 84058624}
|
| 235 |
+
{"current_steps": 235, "total_steps": 261, "loss": 0.1757, "accuracy": 0.9296875, "lr": 2.6242363287030617e-07, "epoch": 0.900167584390711, "percentage": 90.04, "elapsed_time": "5:42:31", "remaining_time": "0:37:53", "throughput": 4107.73, "total_tokens": 84418816}
|
| 236 |
+
{"current_steps": 236, "total_steps": 261, "loss": 0.1672, "accuracy": 0.9296875, "lr": 2.4278726825502696e-07, "epoch": 0.9039980847498205, "percentage": 90.42, "elapsed_time": "5:44:02", "remaining_time": "0:36:26", "throughput": 4107.7, "total_tokens": 84791232}
|
| 237 |
+
{"current_steps": 237, "total_steps": 261, "loss": 0.1262, "accuracy": 0.96875, "lr": 2.2389614887029564e-07, "epoch": 0.9078285851089298, "percentage": 90.8, "elapsed_time": "5:45:28", "remaining_time": "0:34:59", "throughput": 4107.78, "total_tokens": 85148544}
|
| 238 |
+
{"current_steps": 238, "total_steps": 261, "loss": 0.1671, "accuracy": 0.9453125, "lr": 2.0575323412058036e-07, "epoch": 0.9116590854680393, "percentage": 91.19, "elapsed_time": "5:46:55", "remaining_time": "0:33:31", "throughput": 4108.28, "total_tokens": 85514624}
|
| 239 |
+
{"current_steps": 239, "total_steps": 261, "loss": 0.1018, "accuracy": 0.9765625, "lr": 1.8836136619971468e-07, "epoch": 0.9154895858271487, "percentage": 91.57, "elapsed_time": "5:48:18", "remaining_time": "0:32:03", "throughput": 4108.7, "total_tokens": 85866560}
|
| 240 |
+
{"current_steps": 240, "total_steps": 261, "loss": 0.1222, "accuracy": 0.96875, "lr": 1.7172326964564777e-07, "epoch": 0.919320086186258, "percentage": 91.95, "elapsed_time": "5:49:47", "remaining_time": "0:30:36", "throughput": 4108.53, "total_tokens": 86227584}
|
| 241 |
+
{"current_steps": 241, "total_steps": 261, "loss": 0.1439, "accuracy": 0.9609375, "lr": 1.5584155091362907e-07, "epoch": 0.9231505865453675, "percentage": 92.34, "elapsed_time": "5:51:16", "remaining_time": "0:29:09", "throughput": 4108.87, "total_tokens": 86599360}
|
| 242 |
+
{"current_steps": 242, "total_steps": 261, "loss": 0.1047, "accuracy": 0.9765625, "lr": 1.4071869796789427e-07, "epoch": 0.9269810869044769, "percentage": 92.72, "elapsed_time": "5:52:45", "remaining_time": "0:27:41", "throughput": 4108.77, "total_tokens": 86962112}
|
| 243 |
+
{"current_steps": 243, "total_steps": 261, "loss": 0.0951, "accuracy": 0.9609375, "lr": 1.263570798919106e-07, "epoch": 0.9308115872635863, "percentage": 93.1, "elapsed_time": "5:54:10", "remaining_time": "0:26:14", "throughput": 4109.06, "total_tokens": 87320064}
|
| 244 |
+
{"current_steps": 244, "total_steps": 261, "loss": 0.111, "accuracy": 0.9765625, "lr": 1.1275894651724517e-07, "epoch": 0.9346420876226957, "percentage": 93.49, "elapsed_time": "5:55:37", "remaining_time": "0:24:46", "throughput": 4108.78, "total_tokens": 87670976}
|
| 245 |
+
{"current_steps": 245, "total_steps": 261, "loss": 0.0918, "accuracy": 0.984375, "lr": 9.992642807111486e-08, "epoch": 0.9384725879818051, "percentage": 93.87, "elapsed_time": "5:56:57", "remaining_time": "0:23:18", "throughput": 4108.86, "total_tokens": 88002176}
|
| 246 |
+
{"current_steps": 246, "total_steps": 261, "loss": 0.0682, "accuracy": 0.9921875, "lr": 8.78615348426759e-08, "epoch": 0.9423030883409146, "percentage": 94.25, "elapsed_time": "5:58:22", "remaining_time": "0:21:51", "throughput": 4108.79, "total_tokens": 88350976}
|
| 247 |
+
{"current_steps": 247, "total_steps": 261, "loss": 0.0867, "accuracy": 0.984375, "lr": 7.656615686809976e-08, "epoch": 0.946133588700024, "percentage": 94.64, "elapsed_time": "5:59:52", "remaining_time": "0:20:23", "throughput": 4108.56, "total_tokens": 88715456}
|
| 248 |
+
{"current_steps": 248, "total_steps": 261, "loss": 0.0874, "accuracy": 0.984375, "lr": 6.604206363448662e-08, "epoch": 0.9499640890591333, "percentage": 95.02, "elapsed_time": "6:01:21", "remaining_time": "0:18:56", "throughput": 4108.95, "total_tokens": 89086656}
|
| 249 |
+
{"current_steps": 249, "total_steps": 261, "loss": 0.0937, "accuracy": 0.9765625, "lr": 5.6290903802665444e-08, "epoch": 0.9537945894182428, "percentage": 95.4, "elapsed_time": "6:02:54", "remaining_time": "0:17:29", "throughput": 4108.84, "total_tokens": 89469120}
|
| 250 |
+
{"current_steps": 250, "total_steps": 261, "loss": 0.1485, "accuracy": 0.953125, "lr": 4.7314204948923356e-08, "epoch": 0.9576250897773522, "percentage": 95.79, "elapsed_time": "6:04:23", "remaining_time": "0:16:01", "throughput": 4108.85, "total_tokens": 89832832}
|
| 251 |
+
{"current_steps": 251, "total_steps": 261, "loss": 0.143, "accuracy": 0.953125, "lr": 3.911337332569876e-08, "epoch": 0.9614555901364615, "percentage": 96.17, "elapsed_time": "6:05:49", "remaining_time": "0:14:34", "throughput": 4108.79, "total_tokens": 90184960}
|
| 252 |
+
{"current_steps": 252, "total_steps": 261, "loss": 0.1005, "accuracy": 0.9609375, "lr": 3.168969364128527e-08, "epoch": 0.965286090495571, "percentage": 96.55, "elapsed_time": "6:07:17", "remaining_time": "0:13:07", "throughput": 4108.39, "total_tokens": 90540608}
|
| 253 |
+
{"current_steps": 253, "total_steps": 261, "loss": 0.1082, "accuracy": 0.96875, "lr": 2.5044328858576105e-08, "epoch": 0.9691165908546804, "percentage": 96.93, "elapsed_time": "6:08:45", "remaining_time": "0:11:39", "throughput": 4108.53, "total_tokens": 90903552}
|
| 254 |
+
{"current_steps": 254, "total_steps": 261, "loss": 0.1193, "accuracy": 0.9453125, "lr": 1.917832001287645e-08, "epoch": 0.9729470912137897, "percentage": 97.32, "elapsed_time": "6:10:23", "remaining_time": "0:10:12", "throughput": 4107.27, "total_tokens": 91277824}
|
| 255 |
+
{"current_steps": 255, "total_steps": 261, "loss": 0.1073, "accuracy": 0.96875, "lr": 1.4092586048820578e-08, "epoch": 0.9767775915728992, "percentage": 97.7, "elapsed_time": "6:11:50", "remaining_time": "0:08:44", "throughput": 4107.44, "total_tokens": 91637568}
|
| 256 |
+
{"current_steps": 256, "total_steps": 261, "loss": 0.1165, "accuracy": 0.9765625, "lr": 9.787923676414235e-09, "epoch": 0.9806080919320086, "percentage": 98.08, "elapsed_time": "6:13:15", "remaining_time": "0:07:17", "throughput": 4107.35, "total_tokens": 91986624}
|
| 257 |
+
{"current_steps": 257, "total_steps": 261, "loss": 0.1232, "accuracy": 0.9765625, "lr": 6.265007246223365e-09, "epoch": 0.9844385922911181, "percentage": 98.47, "elapsed_time": "6:14:46", "remaining_time": "0:05:49", "throughput": 4107.29, "total_tokens": 92359232}
|
| 258 |
+
{"current_steps": 258, "total_steps": 261, "loss": 0.1287, "accuracy": 0.9609375, "lr": 3.524388643736387e-09, "epoch": 0.9882690926502274, "percentage": 98.85, "elapsed_time": "6:16:16", "remaining_time": "0:04:22", "throughput": 4107.16, "total_tokens": 92725888}
|
| 259 |
+
{"current_steps": 259, "total_steps": 261, "loss": 0.1515, "accuracy": 0.9375, "lr": 1.566497202904471e-09, "epoch": 0.9920995930093368, "percentage": 99.23, "elapsed_time": "6:17:46", "remaining_time": "0:02:55", "throughput": 4107.02, "total_tokens": 93092224}
|
| 260 |
+
{"current_steps": 260, "total_steps": 261, "loss": 0.1015, "accuracy": 0.9765625, "lr": 3.916396388869981e-10, "epoch": 0.9959300933684463, "percentage": 99.62, "elapsed_time": "6:19:12", "remaining_time": "0:01:27", "throughput": 4107.3, "total_tokens": 93450688}
|
| 261 |
+
{"current_steps": 261, "total_steps": 261, "loss": 0.1225, "accuracy": 0.9453125, "lr": 0.0, "epoch": 0.9997605937275557, "percentage": 100.0, "elapsed_time": "6:20:38", "remaining_time": "0:00:00", "throughput": 4107.23, "total_tokens": 93801152}
|
| 262 |
+
{"current_steps": 261, "total_steps": 261, "epoch": 0.9997605937275557, "percentage": 100.0, "elapsed_time": "6:20:41", "remaining_time": "0:00:00", "throughput": 4106.61, "total_tokens": 93801152}
|
huatuo-o1-Med-REFL-LoraAdapter/trainer_state.json
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huatuo-o1-Med-REFL-LoraAdapter/training_args.bin
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:bb6def9b9db806518266832e691d4e104bde84b17f602a7256c4abee2923ec02
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| 3 |
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size 5688
|
huatuo-o1-Med-REFL-LoraAdapter/training_loss.png
ADDED
|
huatuo-o1-Med-REFL-LoraAdapter/training_rewards_accuracies.png
ADDED
|