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README.md

@@ -0,0 +1,89 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- roneneldan/TinyStories
+metrics:
+- accuracy
+model-index:
+- name: gpt2_u060_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: 0.6824684349371644
+---
+
+<!-- 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/km9fib7s)
+# gpt2_u060_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: 1.1944
+- Accuracy: 0.6825
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 2.9072        | 0.0521 | 1000  | 2.4167          | 0.4556   |
+| 1.9548        | 0.1043 | 2000  | 1.7778          | 0.5734   |
+| 1.707         | 0.1564 | 3000  | 1.5956          | 0.6059   |
+| 1.589         | 0.2085 | 4000  | 1.4949          | 0.6241   |
+| 1.5186        | 0.2607 | 5000  | 1.4333          | 0.6353   |
+| 1.463         | 0.3128 | 6000  | 1.3858          | 0.6444   |
+| 1.4279        | 0.3649 | 7000  | 1.3521          | 0.6508   |
+| 1.3932        | 0.4171 | 8000  | 1.3245          | 0.6564   |
+| 1.3687        | 0.4692 | 9000  | 1.3019          | 0.6604   |
+| 1.3498        | 0.5213 | 10000 | 1.2831          | 0.6644   |
+| 1.3315        | 0.5735 | 11000 | 1.2661          | 0.6677   |
+| 1.3141        | 0.6256 | 12000 | 1.2517          | 0.6706   |
+| 1.3006        | 0.6778 | 13000 | 1.2390          | 0.6731   |
+| 1.2872        | 0.7299 | 14000 | 1.2279          | 0.6754   |
+| 1.2757        | 0.7820 | 15000 | 1.2187          | 0.6773   |
+| 1.2688        | 0.8342 | 16000 | 1.2117          | 0.6788   |
+| 1.2609        | 0.8863 | 17000 | 1.2041          | 0.6803   |
+| 1.2572        | 0.9384 | 18000 | 1.1983          | 0.6817   |
+| 1.2517        | 0.9906 | 19000 | 1.1945          | 0.6825   |
+
+
+### 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": 0.6824684349371644,
+    "eval_loss": 1.1943955421447754,
+    "eval_runtime": 53.6088,
+    "eval_samples": 6174,
+    "eval_samples_per_second": 115.168,
+    "eval_steps_per_second": 3.6,
+    "perplexity": 3.301561512444816,
+    "total_flos": 3.20748511297536e+17,
+    "train_loss": 1.5379937968794295,
+    "train_runtime": 7483.9627,
+    "train_samples": 613774,
+    "train_samples_per_second": 82.012,
+    "train_steps_per_second": 2.563
+}

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": 0.6824684349371644,
+    "eval_loss": 1.1943955421447754,
+    "eval_runtime": 53.6088,
+    "eval_samples": 6174,
+    "eval_samples_per_second": 115.168,
+    "eval_steps_per_second": 3.6,
+    "perplexity": 3.301561512444816
+}

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 sha256:61f1139336e2ccba52c20b5a7f723ad952c07a90efff94210006ca35ea1425a2
+size 500919936

special_tokens_map.json

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tokenizer.json

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