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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_m090_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: 0.6807511049251581
+---
+
+<!-- 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/q393hhi3)
+# gpt2_m090_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: 1.2014
+- Accuracy: 0.6808
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8885        | 0.0519 | 1000  | 2.4422          | 0.4484   |
+| 1.97          | 0.1037 | 2000  | 1.7885          | 0.5709   |
+| 1.7171        | 0.1556 | 3000  | 1.6051          | 0.6035   |
+| 1.6008        | 0.2074 | 4000  | 1.5053          | 0.6215   |
+| 1.5248        | 0.2593 | 5000  | 1.4414          | 0.6338   |
+| 1.4717        | 0.3112 | 6000  | 1.3972          | 0.6419   |
+| 1.4337        | 0.3630 | 7000  | 1.3605          | 0.6491   |
+| 1.4026        | 0.4149 | 8000  | 1.3329          | 0.6542   |
+| 1.3762        | 0.4668 | 9000  | 1.3103          | 0.6586   |
+| 1.3568        | 0.5186 | 10000 | 1.2905          | 0.6626   |
+| 1.3359        | 0.5705 | 11000 | 1.2739          | 0.6660   |
+| 1.3232        | 0.6223 | 12000 | 1.2581          | 0.6690   |
+| 1.3085        | 0.6742 | 13000 | 1.2470          | 0.6712   |
+| 1.2995        | 0.7261 | 14000 | 1.2359          | 0.6735   |
+| 1.2845        | 0.7779 | 15000 | 1.2270          | 0.6753   |
+| 1.2724        | 0.8298 | 16000 | 1.2179          | 0.6772   |
+| 1.2696        | 0.8817 | 17000 | 1.2110          | 0.6786   |
+| 1.2609        | 0.9335 | 18000 | 1.2055          | 0.6798   |
+| 1.2597        | 0.9854 | 19000 | 1.2017          | 0.6807   |
+
+
+### 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": 0.6807511049251581,
+    "eval_loss": 1.2013951539993286,
+    "eval_runtime": 53.5647,
+    "eval_samples": 6205,
+    "eval_samples_per_second": 115.841,
+    "eval_steps_per_second": 3.622,
+    "perplexity": 3.3247522298713177,
+    "total_flos": 3.2243959332864e+17,
+    "train_loss": 1.5428689165909673,
+    "train_runtime": 7528.1622,
+    "train_samples": 617010,
+    "train_samples_per_second": 81.96,
+    "train_steps_per_second": 2.561
+}

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": 0.6807511049251581,
+    "eval_loss": 1.2013951539993286,
+    "eval_runtime": 53.5647,
+    "eval_samples": 6205,
+    "eval_samples_per_second": 115.841,
+    "eval_steps_per_second": 3.622,
+    "perplexity": 3.3247522298713177
+}

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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+version https://git-lfs.github.com/spec/v1
+oid sha256:21af76abab6ac45ab7e3a7cedea9c30685d99d985d96bb7081c9656147b1bc79
+size 500919936

special_tokens_map.json

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tokenizer.json

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