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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_u040_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: 0.6809154122817009
+---
+
+<!-- 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/gh64e6as)
+# gpt2_u040_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: 1.2015
+- Accuracy: 0.6809
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.8993        | 0.0523 | 1000  | 2.4128          | 0.4573   |
+| 1.9582        | 0.1046 | 2000  | 1.7777          | 0.5731   |
+| 1.7164        | 0.1569 | 3000  | 1.5985          | 0.6049   |
+| 1.5976        | 0.2092 | 4000  | 1.5014          | 0.6224   |
+| 1.5257        | 0.2615 | 5000  | 1.4399          | 0.6342   |
+| 1.4723        | 0.3138 | 6000  | 1.3955          | 0.6425   |
+| 1.4337        | 0.3661 | 7000  | 1.3618          | 0.6489   |
+| 1.4068        | 0.4184 | 8000  | 1.3318          | 0.6549   |
+| 1.3766        | 0.4707 | 9000  | 1.3082          | 0.6594   |
+| 1.3567        | 0.5230 | 10000 | 1.2884          | 0.6632   |
+| 1.3373        | 0.5753 | 11000 | 1.2717          | 0.6667   |
+| 1.3231        | 0.6275 | 12000 | 1.2593          | 0.6692   |
+| 1.3101        | 0.6798 | 13000 | 1.2451          | 0.6717   |
+| 1.2962        | 0.7321 | 14000 | 1.2344          | 0.6740   |
+| 1.2842        | 0.7844 | 15000 | 1.2259          | 0.6759   |
+| 1.2752        | 0.8367 | 16000 | 1.2178          | 0.6776   |
+| 1.2718        | 0.8890 | 17000 | 1.2103          | 0.6789   |
+| 1.2628        | 0.9413 | 18000 | 1.2050          | 0.6803   |
+| 1.2576        | 0.9936 | 19000 | 1.2016          | 0.6809   |
+
+
+### 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": 0.6809154122817009,
+    "eval_loss": 1.2015403509140015,
+    "eval_runtime": 53.3013,
+    "eval_samples": 6153,
+    "eval_samples_per_second": 115.438,
+    "eval_steps_per_second": 3.621,
+    "perplexity": 3.3252350086852958,
+    "total_flos": 3.19770233929728e+17,
+    "train_loss": 1.5458110461810084,
+    "train_runtime": 7443.7007,
+    "train_samples": 611902,
+    "train_samples_per_second": 82.204,
+    "train_steps_per_second": 2.569
+}

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": 0.6809154122817009,
+    "eval_loss": 1.2015403509140015,
+    "eval_runtime": 53.3013,
+    "eval_samples": 6153,
+    "eval_samples_per_second": 115.438,
+    "eval_steps_per_second": 3.621,
+    "perplexity": 3.3252350086852958
+}

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 sha256:130194b930208ca6ac4acdda9c0c9848a4f0c03c591c25b03737d82a4042ecd8
+size 500919936

special_tokens_map.json

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tokenizer.json

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