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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_u100_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: 0.6900891972857721
+---
+
+<!-- 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/q6cikc5d)
+# gpt2_u100_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: 1.1688
+- Accuracy: 0.6901
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8305        | 0.0505 | 1000  | 2.3790          | 0.4650   |
+| 1.9272        | 0.1009 | 2000  | 1.7501          | 0.5809   |
+| 1.6793        | 0.1514 | 3000  | 1.5689          | 0.6136   |
+| 1.5605        | 0.2018 | 4000  | 1.4699          | 0.6316   |
+| 1.4891        | 0.2523 | 5000  | 1.4112          | 0.6422   |
+| 1.4391        | 0.3028 | 6000  | 1.3646          | 0.6514   |
+| 1.3995        | 0.3532 | 7000  | 1.3317          | 0.6575   |
+| 1.3707        | 0.4037 | 8000  | 1.3021          | 0.6631   |
+| 1.3424        | 0.4541 | 9000  | 1.2806          | 0.6675   |
+| 1.3242        | 0.5046 | 10000 | 1.2613          | 0.6714   |
+| 1.3058        | 0.5551 | 11000 | 1.2435          | 0.6748   |
+| 1.2888        | 0.6055 | 12000 | 1.2291          | 0.6777   |
+| 1.2748        | 0.6560 | 13000 | 1.2178          | 0.6801   |
+| 1.2654        | 0.7064 | 14000 | 1.2077          | 0.6821   |
+| 1.2549        | 0.7569 | 15000 | 1.1964          | 0.6843   |
+| 1.2459        | 0.8073 | 16000 | 1.1878          | 0.6860   |
+| 1.2385        | 0.8578 | 17000 | 1.1819          | 0.6873   |
+| 1.2286        | 0.9083 | 18000 | 1.1756          | 0.6886   |
+| 1.2246        | 0.9587 | 19000 | 1.1708          | 0.6896   |
+
+
+### 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": 0.6900891972857721,
+    "eval_loss": 1.168783187866211,
+    "eval_runtime": 54.3971,
+    "eval_samples": 6374,
+    "eval_samples_per_second": 117.175,
+    "eval_steps_per_second": 3.677,
+    "perplexity": 3.2180744631160993,
+    "total_flos": 3.31395116433408e+17,
+    "train_loss": 1.5000046812714452,
+    "train_runtime": 7707.6508,
+    "train_samples": 634147,
+    "train_samples_per_second": 82.275,
+    "train_steps_per_second": 2.571
+}

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": 0.6900891972857721,
+    "eval_loss": 1.168783187866211,
+    "eval_runtime": 54.3971,
+    "eval_samples": 6374,
+    "eval_samples_per_second": 117.175,
+    "eval_steps_per_second": 3.677,
+    "perplexity": 3.2180744631160993
+}

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 sha256:8764b1a8b850cd10e9d479c81faec05e1b5f3064a07589a9b303f5c52b5150ae
+size 500919936

special_tokens_map.json

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tokenizer.json

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