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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_m030_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: 0.6769524500458132
+---
+
+<!-- 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/ax6mefu1)
+# gpt2_m030_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: 1.2151
+- Accuracy: 0.6770
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.9188        | 0.0525 | 1000  | 2.4482          | 0.4471   |
+| 1.9766        | 0.1050 | 2000  | 1.7972          | 0.5678   |
+| 1.7303        | 0.1575 | 3000  | 1.6148          | 0.6000   |
+| 1.609         | 0.2101 | 4000  | 1.5150          | 0.6186   |
+| 1.5368        | 0.2626 | 5000  | 1.4535          | 0.6300   |
+| 1.4863        | 0.3151 | 6000  | 1.4084          | 0.6384   |
+| 1.4466        | 0.3676 | 7000  | 1.3733          | 0.6450   |
+| 1.4134        | 0.4201 | 8000  | 1.3437          | 0.6510   |
+| 1.3904        | 0.4726 | 9000  | 1.3217          | 0.6553   |
+| 1.3643        | 0.5252 | 10000 | 1.3030          | 0.6589   |
+| 1.3492        | 0.5777 | 11000 | 1.2846          | 0.6625   |
+| 1.337         | 0.6302 | 12000 | 1.2720          | 0.6651   |
+| 1.3219        | 0.6827 | 13000 | 1.2582          | 0.6679   |
+| 1.3102        | 0.7352 | 14000 | 1.2470          | 0.6702   |
+| 1.2984        | 0.7877 | 15000 | 1.2394          | 0.6717   |
+| 1.29          | 0.8402 | 16000 | 1.2299          | 0.6738   |
+| 1.2789        | 0.8928 | 17000 | 1.2236          | 0.6750   |
+| 1.2752        | 0.9453 | 18000 | 1.2182          | 0.6762   |
+| 1.275         | 0.9978 | 19000 | 1.2151          | 0.6770   |
+
+
+### 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": 0.6769524500458132,
+    "eval_loss": 1.2150864601135254,
+    "eval_runtime": 51.7694,
+    "eval_samples": 6128,
+    "eval_samples_per_second": 118.371,
+    "eval_steps_per_second": 3.709,
+    "perplexity": 3.370585472926451,
+    "total_flos": 3.18433463894016e+17,
+    "train_loss": 1.559626747462294,
+    "train_runtime": 7382.0097,
+    "train_samples": 609344,
+    "train_samples_per_second": 82.544,
+    "train_steps_per_second": 2.58
+}

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": 0.6769524500458132,
+    "eval_loss": 1.2150864601135254,
+    "eval_runtime": 51.7694,
+    "eval_samples": 6128,
+    "eval_samples_per_second": 118.371,
+    "eval_steps_per_second": 3.709,
+    "perplexity": 3.370585472926451
+}

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:c5c999736c99f6c3eea82fec0e9f0b8a8f4306852fecd8bb4589ada830a7ad0f
+size 500919936

special_tokens_map.json

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tokenizer.json

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