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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_m070_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: 0.6783595560713086
+---
+
+<!-- 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/shwmemvo)
+# gpt2_m070_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: 1.2096
+- Accuracy: 0.6784
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8977        | 0.0523 | 1000  | 2.4285          | 0.4506   |
+| 1.9691        | 0.1045 | 2000  | 1.7883          | 0.5700   |
+| 1.7235        | 0.1568 | 3000  | 1.6068          | 0.6021   |
+| 1.6024        | 0.2091 | 4000  | 1.5058          | 0.6207   |
+| 1.5325        | 0.2613 | 5000  | 1.4471          | 0.6315   |
+| 1.481         | 0.3136 | 6000  | 1.4035          | 0.6400   |
+| 1.4382        | 0.3659 | 7000  | 1.3690          | 0.6468   |
+| 1.4083        | 0.4181 | 8000  | 1.3372          | 0.6527   |
+| 1.3835        | 0.4704 | 9000  | 1.3157          | 0.6568   |
+| 1.3618        | 0.5227 | 10000 | 1.2963          | 0.6608   |
+| 1.3439        | 0.5750 | 11000 | 1.2785          | 0.6642   |
+| 1.3279        | 0.6272 | 12000 | 1.2658          | 0.6668   |
+| 1.3158        | 0.6795 | 13000 | 1.2528          | 0.6693   |
+| 1.3022        | 0.7318 | 14000 | 1.2427          | 0.6714   |
+| 1.295         | 0.7840 | 15000 | 1.2337          | 0.6733   |
+| 1.285         | 0.8363 | 16000 | 1.2253          | 0.6751   |
+| 1.2774        | 0.8886 | 17000 | 1.2190          | 0.6765   |
+| 1.2734        | 0.9408 | 18000 | 1.2134          | 0.6776   |
+| 1.2705        | 0.9931 | 19000 | 1.2098          | 0.6783   |
+
+
+### 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": 0.6783595560713086,
+    "eval_loss": 1.209586262702942,
+    "eval_runtime": 53.3572,
+    "eval_samples": 6156,
+    "eval_samples_per_second": 115.373,
+    "eval_steps_per_second": 3.617,
+    "perplexity": 3.352097477855894,
+    "total_flos": 3.19927531732992e+17,
+    "train_loss": 1.5522811494062019,
+    "train_runtime": 7453.1649,
+    "train_samples": 612203,
+    "train_samples_per_second": 82.14,
+    "train_steps_per_second": 2.567
+}

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": 0.6783595560713086,
+    "eval_loss": 1.209586262702942,
+    "eval_runtime": 53.3572,
+    "eval_samples": 6156,
+    "eval_samples_per_second": 115.373,
+    "eval_steps_per_second": 3.617,
+    "perplexity": 3.352097477855894
+}

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 sha256:8e7ca0cf4c6bb3b52d1920fdf2027a7a1b27d3d07ac21c2a1f632505f1b1c5ad
+size 497774208

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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