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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_m040_tiny-stories_1024_dpos
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: roneneldan/TinyStories
+      type: roneneldan/TinyStories
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6775623049492806
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/scads-nlp/morph-gpt_gpt2_tiny-stories_dpos/runs/mokffb1c)
+# gpt2_m040_tiny-stories_1024_dpos
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the roneneldan/TinyStories dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2121
+- Accuracy: 0.6776
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.9041        | 0.0525 | 1000  | 2.4552          | 0.4456   |
+| 1.975         | 0.1050 | 2000  | 1.8001          | 0.5670   |
+| 1.7304        | 0.1575 | 3000  | 1.6101          | 0.6007   |
+| 1.6082        | 0.2100 | 4000  | 1.5135          | 0.6184   |
+| 1.5347        | 0.2625 | 5000  | 1.4519          | 0.6304   |
+| 1.481         | 0.3150 | 6000  | 1.4063          | 0.6389   |
+| 1.4437        | 0.3675 | 7000  | 1.3708          | 0.6459   |
+| 1.4146        | 0.4200 | 8000  | 1.3424          | 0.6511   |
+| 1.3851        | 0.4725 | 9000  | 1.3189          | 0.6559   |
+| 1.3649        | 0.5250 | 10000 | 1.2999          | 0.6595   |
+| 1.3483        | 0.5775 | 11000 | 1.2841          | 0.6628   |
+| 1.3335        | 0.6300 | 12000 | 1.2691          | 0.6658   |
+| 1.3166        | 0.6825 | 13000 | 1.2568          | 0.6684   |
+| 1.307         | 0.7350 | 14000 | 1.2449          | 0.6706   |
+| 1.2959        | 0.7875 | 15000 | 1.2347          | 0.6726   |
+| 1.286         | 0.8400 | 16000 | 1.2270          | 0.6744   |
+| 1.2818        | 0.8925 | 17000 | 1.2210          | 0.6755   |
+| 1.2701        | 0.9450 | 18000 | 1.2155          | 0.6769   |
+| 1.2691        | 0.9975 | 19000 | 1.2121          | 0.6776   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.6775623049492806,
+    "eval_loss": 1.2121405601501465,
+    "eval_runtime": 52.0236,
+    "eval_samples": 6127,
+    "eval_samples_per_second": 117.773,
+    "eval_steps_per_second": 3.691,
+    "perplexity": 3.3606706764747627,
+    "total_flos": 3.18526483857408e+17,
+    "train_loss": 1.5567941711710962,
+    "train_runtime": 7364.253,
+    "train_samples": 609522,
+    "train_samples_per_second": 82.768,
+    "train_steps_per_second": 2.587
+}

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1024,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 1024,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 2048,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "use_cache": true,
+  "vocab_size": 50257
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.6775623049492806,
+    "eval_loss": 1.2121405601501465,
+    "eval_runtime": 52.0236,
+    "eval_samples": 6127,
+    "eval_samples_per_second": 117.773,
+    "eval_steps_per_second": 3.691,
+    "perplexity": 3.3606706764747627
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1024,
+  "eos_token_id": 1024,
+  "transformers_version": "4.42.3"
+}

model.safetensors

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+oid sha256:45c5662336cb82b718b8517782244db0b6699e3c3ccee6c308b1d7ac882178de
+size 500919936

special_tokens_map.json

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tokenizer.json

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