Upload 12 files
Browse files- README.md +70 -3
- all_results.json +18 -0
- config.json +33 -0
- eval_results.json +11 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- train_results.json +11 -0
- trainer_state.json +1755 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: avsolatorio/GIST-all-MiniLM-L6-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: GIST-all-MiniLM-L6-v2-text-quality-v3
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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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# GIST-all-MiniLM-L6-v2-text-quality-v3
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This model is a fine-tuned version of [avsolatorio/GIST-all-MiniLM-L6-v2](https://huggingface.co/avsolatorio/GIST-all-MiniLM-L6-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1572
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- Mse: 0.1572
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- Combined Score: 0.1572
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- Num Input Tokens Seen: 102398720
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use 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: linear
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse | Combined Score | Input Tokens Seen |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:--------------:|:-----------------:|
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| 0.1777 | 1.0 | 10000 | 0.2354 | 0.2354 | 0.2354 | 10239872 |
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| 0.1389 | 2.0 | 20000 | 0.1572 | 0.1572 | 0.1572 | 20479744 |
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| 0.1 | 3.0 | 30000 | 0.1961 | 0.1961 | 0.1961 | 30719616 |
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| 0.0687 | 4.0 | 40000 | 0.1596 | 0.1596 | 0.1596 | 40959488 |
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| 0.0559 | 5.0 | 50000 | 0.1757 | 0.1757 | 0.1757 | 51199360 |
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| 0.0409 | 6.0 | 60000 | 0.1677 | 0.1677 | 0.1677 | 61439232 |
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| 0.0319 | 7.0 | 70000 | 0.1852 | 0.1852 | 0.1852 | 71679104 |
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| 0.0266 | 8.0 | 80000 | 0.1840 | 0.1840 | 0.1840 | 81918976 |
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| 0.0202 | 9.0 | 90000 | 0.1724 | 0.1724 | 0.1724 | 92158848 |
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| 0.0172 | 10.0 | 100000 | 0.1731 | 0.1731 | 0.1731 | 102398720 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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all_results.json
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{
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"epoch": 10.0,
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"eval_combined_score": 0.15717529132199526,
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"eval_loss": 0.15717528760433197,
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"eval_mse": 0.15717529503965852,
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"eval_runtime": 7.0327,
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"eval_samples": 20000,
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"eval_samples_per_second": 2843.868,
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"eval_steps_per_second": 355.483,
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"num_input_tokens_seen": 102398720,
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"total_flos": 6632842477232640.0,
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"train_loss": 0.06995858280181885,
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"train_runtime": 1201.7215,
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"train_samples": 79999,
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"train_samples_per_second": 665.703,
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"train_steps_per_second": 83.214,
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"train_tokens_per_second": 85210.024
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}
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config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"finetuning_task": "text-classification",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_combined_score": 0.15717529132199526,
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"eval_loss": 0.15717528760433197,
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"eval_mse": 0.15717529503965852,
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"eval_runtime": 7.0327,
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"eval_samples": 20000,
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"eval_samples_per_second": 2843.868,
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"eval_steps_per_second": 355.483,
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"num_input_tokens_seen": 102398720
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e16431067f35e36cc24f4b6fef5e2979aa12b357aa33b5f8a011dda571cd4c32
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size 90866412
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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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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"mask_token": {
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"content": "[MASK]",
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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": "[PAD]",
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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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"sep_token": {
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"content": "[SEP]",
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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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"unk_token": {
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"content": "[UNK]",
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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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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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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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"special": true
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},
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"100": {
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"content": "[UNK]",
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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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"special": true
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},
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"101": {
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"content": "[CLS]",
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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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"special": true
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},
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"102": {
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"content": "[SEP]",
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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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"special": true
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},
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"103": {
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"content": "[MASK]",
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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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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"max_length": 128,
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"model_max_length": 512,
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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train_results.json
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{
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"epoch": 10.0,
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"num_input_tokens_seen": 102398720,
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"total_flos": 6632842477232640.0,
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"train_loss": 0.06995858280181885,
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"train_runtime": 1201.7215,
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"train_samples": 79999,
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"train_samples_per_second": 665.703,
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"train_steps_per_second": 83.214,
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"train_tokens_per_second": 85210.024
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 20000,
|
| 3 |
+
"best_metric": 0.15717528760433197,
|
| 4 |
+
"best_model_checkpoint": "/media/user/Expansion1/GIST-all-MiniLM-L6-v2-text-quality-v3/checkpoint-20000",
|
| 5 |
+
"epoch": 10.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 100000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.05,
|
| 14 |
+
"grad_norm": 10.430134773254395,
|
| 15 |
+
"learning_rate": 4.97505e-05,
|
| 16 |
+
"loss": 0.381,
|
| 17 |
+
"num_input_tokens_seen": 512000,
|
| 18 |
+
"step": 500
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 0.1,
|
| 22 |
+
"grad_norm": 6.132630348205566,
|
| 23 |
+
"learning_rate": 4.95005e-05,
|
| 24 |
+
"loss": 0.2502,
|
| 25 |
+
"num_input_tokens_seen": 1024000,
|
| 26 |
+
"step": 1000
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.15,
|
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vocab.txt
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