Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: eo_train1-10_eval11
+  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_eval11
+
+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: 0.6988
+- Accuracy: 0.5
+
+## 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: 0.001
+- 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    | 2.6204          | 0.5      |
+| 2.238         | 100.0  | 100  | 2.2317          | 0.5      |
+| 1.385         | 200.0  | 200  | 1.3755          | 0.5      |
+| 0.7896        | 300.0  | 300  | 0.7889          | 0.5      |
+| 0.7045        | 400.0  | 400  | 0.7206          | 0.5      |
+| 0.6393        | 500.0  | 500  | 0.7111          | 0.5      |
+| 0.5873        | 600.0  | 600  | 0.7019          | 0.5      |
+| 0.5542        | 700.0  | 700  | 0.7062          | 0.5      |
+| 0.534         | 800.0  | 800  | 0.7026          | 0.5      |
+| 0.5172        | 900.0  | 900  | 0.6992          | 0.5      |
+| 0.4871        | 1000.0 | 1000 | 0.7067          | 0.5      |
+| 0.4678        | 1100.0 | 1100 | 0.7070          | 0.5      |
+| 0.4786        | 1200.0 | 1200 | 0.7006          | 0.5      |
+| 0.4645        | 1300.0 | 1300 | 0.7031          | 0.5      |
+| 0.466         | 1400.0 | 1400 | 0.6975          | 0.5      |
+| 0.4574        | 1500.0 | 1500 | 0.7013          | 0.5      |
+| 0.4636        | 1600.0 | 1600 | 0.7017          | 0.5      |
+| 0.4612        | 1700.0 | 1700 | 0.7028          | 0.5      |
+| 0.4659        | 1800.0 | 1800 | 0.6999          | 0.5      |
+| 0.457         | 1900.0 | 1900 | 0.7002          | 0.5      |
+| 0.4562        | 2000.0 | 2000 | 0.7004          | 0.5      |
+| 0.4541        | 2100.0 | 2100 | 0.6999          | 0.5      |
+| 0.4535        | 2200.0 | 2200 | 0.6995          | 0.5      |
+| 0.4533        | 2300.0 | 2300 | 0.6995          | 0.5      |
+| 0.453         | 2400.0 | 2400 | 0.6991          | 0.5      |
+| 0.453         | 2500.0 | 2500 | 0.6990          | 0.5      |
+| 0.4528        | 2600.0 | 2600 | 0.6988          | 0.5      |
+| 0.4527        | 2700.0 | 2700 | 0.6988          | 0.5      |
+| 0.4527        | 2800.0 | 2800 | 0.6988          | 0.5      |
+| 0.4527        | 2900.0 | 2900 | 0.6988          | 0.5      |
+| 0.4527        | 3000.0 | 3000 | 0.6988          | 0.5      |
+
+
+### 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": 10,
+  "n_head": 1,
+  "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:dc9272f2f11d1bffa8cde1561732a72d1d06a66ffd12f9739d09498436dfefef
+size 7960

training_args.bin

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+size 5240