Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: eo_train1-10_eval1-10_lr1e-5
+  results: []
+---
+
+<!-- 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. -->
+
+# eo_train1-10_eval1-10_lr1e-5
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4512
+- Accuracy: 0.75
+
+## 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: 1e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 7658372
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0      | 0    | 3.0162          | 0.0      |
+| 1.4977        | 100.0  | 100  | 1.4741          | 0.5      |
+| 0.7396        | 200.0  | 200  | 0.7389          | 0.5      |
+| 0.6815        | 300.0  | 300  | 0.6810          | 0.6      |
+| 0.6378        | 400.0  | 400  | 0.6373          | 0.55     |
+| 0.5971        | 500.0  | 500  | 0.5969          | 0.6      |
+| 0.5768        | 600.0  | 600  | 0.5763          | 0.6      |
+| 0.555         | 700.0  | 700  | 0.5545          | 0.65     |
+| 0.5395        | 800.0  | 800  | 0.5393          | 0.7      |
+| 0.5279        | 900.0  | 900  | 0.5281          | 0.65     |
+| 0.5228        | 1000.0 | 1000 | 0.5224          | 0.7      |
+| 0.5161        | 1100.0 | 1100 | 0.5167          | 0.8      |
+| 0.5104        | 1200.0 | 1200 | 0.5106          | 0.8      |
+| 0.5049        | 1300.0 | 1300 | 0.5047          | 0.8      |
+| 0.4987        | 1400.0 | 1400 | 0.4991          | 0.75     |
+| 0.493         | 1500.0 | 1500 | 0.4933          | 0.7      |
+| 0.4877        | 1600.0 | 1600 | 0.4884          | 0.75     |
+| 0.4826        | 1700.0 | 1700 | 0.4824          | 0.7      |
+| 0.4766        | 1800.0 | 1800 | 0.4763          | 0.7      |
+| 0.4714        | 1900.0 | 1900 | 0.4713          | 0.7      |
+| 0.4673        | 2000.0 | 2000 | 0.4674          | 0.7      |
+| 0.4635        | 2100.0 | 2100 | 0.4633          | 0.7      |
+| 0.4602        | 2200.0 | 2200 | 0.4601          | 0.7      |
+| 0.4577        | 2300.0 | 2300 | 0.4577          | 0.75     |
+| 0.4556        | 2400.0 | 2400 | 0.4555          | 0.75     |
+| 0.4538        | 2500.0 | 2500 | 0.4538          | 0.75     |
+| 0.4525        | 2600.0 | 2600 | 0.4525          | 0.75     |
+| 0.4518        | 2700.0 | 2700 | 0.4518          | 0.75     |
+| 0.4514        | 2800.0 | 2800 | 0.4514          | 0.75     |
+| 0.4512        | 2900.0 | 2900 | 0.4512          | 0.75     |
+| 0.4512        | 3000.0 | 3000 | 0.4512          | 0.75     |
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.1

config.json

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+{
+  "architectures": [
+    "NanoGPT"
+  ],
+  "bias": true,
+  "block_size": 256,
+  "dropout": 0.0,
+  "mlp_dim": 4,
+  "model_type": "nanogpt",
+  "n_embd": 256,
+  "n_head": 2,
+  "n_layer": 1,
+  "nonlinearity": "RELU",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.0",
+  "use_NoPE": true,
+  "use_layernorm": true,
+  "vocab_size": 14
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.46.0"
+}

model.safetensors

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+oid sha256:2fa9a80adfdb34be28d5fb56af7dda4431f3b222233a67e40f0513775eeca551
+size 3191304

training_args.bin

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+size 5240