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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_m080_tiny-stories_1024
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: roneneldan/TinyStories
+      type: roneneldan/TinyStories
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6787833469368093
+---
+
+<!-- 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/runs/3tjo6ipp)
+# gpt2_m080_tiny-stories_1024
+
+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: 1.2099
+- Accuracy: 0.6788
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8882        | 0.0522 | 1000  | 2.4481          | 0.4477   |
+| 1.9734        | 0.1043 | 2000  | 1.7975          | 0.5687   |
+| 1.7272        | 0.1565 | 3000  | 1.6134          | 0.6017   |
+| 1.6087        | 0.2086 | 4000  | 1.5135          | 0.6195   |
+| 1.5337        | 0.2608 | 5000  | 1.4512          | 0.6313   |
+| 1.4808        | 0.3129 | 6000  | 1.4058          | 0.6399   |
+| 1.444         | 0.3651 | 7000  | 1.3705          | 0.6466   |
+| 1.4094        | 0.4173 | 8000  | 1.3408          | 0.6524   |
+| 1.385         | 0.4694 | 9000  | 1.3191          | 0.6566   |
+| 1.364         | 0.5216 | 10000 | 1.2988          | 0.6608   |
+| 1.3413        | 0.5737 | 11000 | 1.2813          | 0.6643   |
+| 1.3267        | 0.6259 | 12000 | 1.2677          | 0.6669   |
+| 1.3161        | 0.6780 | 13000 | 1.2534          | 0.6697   |
+| 1.3083        | 0.7302 | 14000 | 1.2439          | 0.6717   |
+| 1.2955        | 0.7824 | 15000 | 1.2366          | 0.6731   |
+| 1.285         | 0.8345 | 16000 | 1.2262          | 0.6754   |
+| 1.2796        | 0.8867 | 17000 | 1.2194          | 0.6767   |
+| 1.271         | 0.9388 | 18000 | 1.2133          | 0.6780   |
+| 1.2678        | 0.9910 | 19000 | 1.2101          | 0.6787   |
+
+
+### 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": 0.6787833469368093,
+    "eval_loss": 1.2099096775054932,
+    "eval_runtime": 52.6042,
+    "eval_samples": 6169,
+    "eval_samples_per_second": 117.272,
+    "eval_steps_per_second": 3.669,
+    "perplexity": 3.353181771128624,
+    "total_flos": 3.20619433033728e+17,
+    "train_loss": 1.5528178578381098,
+    "train_runtime": 7442.3449,
+    "train_samples": 613527,
+    "train_samples_per_second": 82.437,
+    "train_steps_per_second": 2.576
+}

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": 1024,
+  "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": 0.6787833469368093,
+    "eval_loss": 1.2099096775054932,
+    "eval_runtime": 52.6042,
+    "eval_samples": 6169,
+    "eval_samples_per_second": 117.272,
+    "eval_steps_per_second": 3.669,
+    "perplexity": 3.353181771128624
+}

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 sha256:1f60eec87bce57f5cdd38bf4dcb1381c7835a5d0f470ed50f4bed9a1b543358a
+size 497774208

special_tokens_map.json

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tokenizer.json

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