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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_u090_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: 0.6847785435700166
+---
+
+<!-- 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/4b1lo9lo)
+# gpt2_u090_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: 1.1862
+- Accuracy: 0.6848
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8979        | 0.0516 | 1000  | 2.4237          | 0.4552   |
+| 1.9485        | 0.1032 | 2000  | 1.7736          | 0.5751   |
+| 1.6997        | 0.1548 | 3000  | 1.5877          | 0.6077   |
+| 1.579         | 0.2063 | 4000  | 1.4891          | 0.6261   |
+| 1.5078        | 0.2579 | 5000  | 1.4237          | 0.6382   |
+| 1.457         | 0.3095 | 6000  | 1.3794          | 0.6467   |
+| 1.4178        | 0.3611 | 7000  | 1.3463          | 0.6529   |
+| 1.3857        | 0.4127 | 8000  | 1.3157          | 0.6587   |
+| 1.3583        | 0.4643 | 9000  | 1.2949          | 0.6626   |
+| 1.3406        | 0.5158 | 10000 | 1.2756          | 0.6667   |
+| 1.3224        | 0.5674 | 11000 | 1.2575          | 0.6701   |
+| 1.3063        | 0.6190 | 12000 | 1.2455          | 0.6725   |
+| 1.2955        | 0.6706 | 13000 | 1.2323          | 0.6752   |
+| 1.278         | 0.7222 | 14000 | 1.2199          | 0.6777   |
+| 1.2714        | 0.7738 | 15000 | 1.2117          | 0.6794   |
+| 1.2587        | 0.8253 | 16000 | 1.2042          | 0.6810   |
+| 1.2527        | 0.8769 | 17000 | 1.1961          | 0.6826   |
+| 1.2469        | 0.9285 | 18000 | 1.1906          | 0.6838   |
+| 1.2434        | 0.9801 | 19000 | 1.1872          | 0.6846   |
+
+
+### 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": 0.6847785435700166,
+    "eval_loss": 1.1861546039581299,
+    "eval_runtime": 53.3135,
+    "eval_samples": 6239,
+    "eval_samples_per_second": 117.025,
+    "eval_steps_per_second": 3.658,
+    "perplexity": 3.2744653503482555,
+    "total_flos": 3.24178753093632e+17,
+    "train_loss": 1.525936197941854,
+    "train_runtime": 7557.418,
+    "train_samples": 620338,
+    "train_samples_per_second": 82.083,
+    "train_steps_per_second": 2.565
+}

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": 0.6847785435700166,
+    "eval_loss": 1.1861546039581299,
+    "eval_runtime": 53.3135,
+    "eval_samples": 6239,
+    "eval_samples_per_second": 117.025,
+    "eval_steps_per_second": 3.658,
+    "perplexity": 3.2744653503482555
+}

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:b58a32e66f804e3ea9033d25ddc1b9ebb24aef8c3d3b8defb14dcaaa4a259afc
+size 500919936

special_tokens_map.json

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tokenizer.json

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