End of training

README.md

@@ -0,0 +1,94 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: calculator_model_test
+  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. -->
+
+# calculator_model_test
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6445
+
+## 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: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.3594        | 1.0   | 6    | 2.6961          |
+| 2.338         | 2.0   | 12   | 1.9172          |
+| 1.7807        | 3.0   | 18   | 1.6504          |
+| 1.6413        | 4.0   | 24   | 1.5772          |
+| 1.5569        | 5.0   | 30   | 1.5075          |
+| 1.5204        | 6.0   | 36   | 1.5027          |
+| 1.4613        | 7.0   | 42   | 1.4240          |
+| 1.4149        | 8.0   | 48   | 1.3841          |
+| 1.4121        | 9.0   | 54   | 1.3384          |
+| 1.3282        | 10.0  | 60   | 1.2658          |
+| 1.3428        | 11.0  | 66   | 1.3187          |
+| 1.2754        | 12.0  | 72   | 1.2000          |
+| 1.2004        | 13.0  | 78   | 1.1383          |
+| 1.1374        | 14.0  | 84   | 1.1283          |
+| 1.1239        | 15.0  | 90   | 1.1534          |
+| 1.1362        | 16.0  | 96   | 1.0378          |
+| 1.0319        | 17.0  | 102  | 1.0088          |
+| 0.9973        | 18.0  | 108  | 0.9690          |
+| 0.9907        | 19.0  | 114  | 0.9688          |
+| 0.9369        | 20.0  | 120  | 0.8948          |
+| 0.9286        | 21.0  | 126  | 0.9302          |
+| 0.9444        | 22.0  | 132  | 1.0039          |
+| 0.9423        | 23.0  | 138  | 0.9451          |
+| 0.8952        | 24.0  | 144  | 0.8408          |
+| 0.8529        | 25.0  | 150  | 0.8326          |
+| 0.8326        | 26.0  | 156  | 0.8112          |
+| 0.8228        | 27.0  | 162  | 0.7828          |
+| 0.7914        | 28.0  | 168  | 0.7701          |
+| 0.7917        | 29.0  | 174  | 0.7489          |
+| 0.7663        | 30.0  | 180  | 0.7327          |
+| 0.7588        | 31.0  | 186  | 0.7069          |
+| 0.7347        | 32.0  | 192  | 0.7117          |
+| 0.7311        | 33.0  | 198  | 0.6902          |
+| 0.7303        | 34.0  | 204  | 0.6899          |
+| 0.7098        | 35.0  | 210  | 0.6822          |
+| 0.7147        | 36.0  | 216  | 0.6766          |
+| 0.7189        | 37.0  | 222  | 0.6559          |
+| 0.6973        | 38.0  | 228  | 0.6488          |
+| 0.6922        | 39.0  | 234  | 0.6454          |
+| 0.6808        | 40.0  | 240  | 0.6445          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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generation_config.json

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special_tokens_map.json

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