Model save

README.md

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----
-license: mit
----
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: Tya
+  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. -->
+
+# Tya
+
+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: 9.0425
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 4    | 10.2476         |
+| No log        | 2.0   | 8    | 10.2346         |
+| 10.2242       | 3.0   | 12   | 10.2122         |
+| 10.2242       | 4.0   | 16   | 10.1811         |
+| 10.1914       | 5.0   | 20   | 10.1409         |
+| 10.1914       | 6.0   | 24   | 10.0923         |
+| 10.1914       | 7.0   | 28   | 10.0357         |
+| 10.0766       | 8.0   | 32   | 9.9716          |
+| 10.0766       | 9.0   | 36   | 9.9017          |
+| 9.9563        | 10.0  | 40   | 9.8282          |
+| 9.9563        | 11.0  | 44   | 9.7509          |
+| 9.9563        | 12.0  | 48   | 9.6713          |
+| 9.7542        | 13.0  | 52   | 9.5897          |
+| 9.7542        | 14.0  | 56   | 9.5149          |
+| 9.54          | 15.0  | 60   | 9.4476          |
+| 9.54          | 16.0  | 64   | 9.3876          |
+| 9.54          | 17.0  | 68   | 9.3340          |
+| 9.417         | 18.0  | 72   | 9.2862          |
+| 9.417         | 19.0  | 76   | 9.2429          |
+| 9.2368        | 20.0  | 80   | 9.2049          |
+| 9.2368        | 21.0  | 84   | 9.1715          |
+| 9.2368        | 22.0  | 88   | 9.1426          |
+| 9.1577        | 23.0  | 92   | 9.1179          |
+| 9.1577        | 24.0  | 96   | 9.0972          |
+| 9.1191        | 25.0  | 100  | 9.0803          |
+| 9.1191        | 26.0  | 104  | 9.0667          |
+| 9.1191        | 27.0  | 108  | 9.0563          |
+| 9.0687        | 28.0  | 112  | 9.0488          |
+| 9.0687        | 29.0  | 116  | 9.0443          |
+| 9.021         | 30.0  | 120  | 9.0425          |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

model.safetensors

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+oid sha256:9c9d896b635804a2bfbd2431157bae1d9b84872235d9b88a735a540161094994
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