End of training

README.md

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+---
+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: 0.7556
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.1456        | 1.0   | 6    | 2.5517          |
+| 2.1398        | 2.0   | 12   | 1.8461          |
+| 1.7232        | 3.0   | 18   | 1.6222          |
+| 1.6435        | 4.0   | 24   | 1.6869          |
+| 1.6417        | 5.0   | 30   | 1.5262          |
+| 1.4634        | 6.0   | 36   | 1.4824          |
+| 1.4507        | 7.0   | 42   | 1.8991          |
+| 1.54          | 8.0   | 48   | 1.4370          |
+| 1.483         | 9.0   | 54   | 1.4203          |
+| 1.4086        | 10.0  | 60   | 1.4349          |
+| 1.4063        | 11.0  | 66   | 1.5677          |
+| 1.4235        | 12.0  | 72   | 1.3646          |
+| 1.2839        | 13.0  | 78   | 1.2074          |
+| 1.2127        | 14.0  | 84   | 1.2050          |
+| 1.1447        | 15.0  | 90   | 1.1797          |
+| 1.1515        | 16.0  | 96   | 1.1440          |
+| 1.1138        | 17.0  | 102  | 1.1293          |
+| 1.07          | 18.0  | 108  | 1.1061          |
+| 1.0295        | 19.0  | 114  | 1.1572          |
+| 1.1086        | 20.0  | 120  | 1.3547          |
+| 1.1835        | 21.0  | 126  | 1.1306          |
+| 1.0968        | 22.0  | 132  | 1.0152          |
+| 1.0012        | 23.0  | 138  | 1.0467          |
+| 1.0088        | 24.0  | 144  | 0.9831          |
+| 0.9616        | 25.0  | 150  | 0.9141          |
+| 0.9385        | 26.0  | 156  | 0.9093          |
+| 0.8887        | 27.0  | 162  | 0.9188          |
+| 0.9549        | 28.0  | 168  | 0.9369          |
+| 0.8972        | 29.0  | 174  | 0.8518          |
+| 0.8973        | 30.0  | 180  | 0.8424          |
+| 0.8419        | 31.0  | 186  | 0.8858          |
+| 0.8887        | 32.0  | 192  | 0.8781          |
+| 0.8509        | 33.0  | 198  | 0.8372          |
+| 0.8473        | 34.0  | 204  | 0.8021          |
+| 0.8361        | 35.0  | 210  | 0.7912          |
+| 0.8037        | 36.0  | 216  | 0.7771          |
+| 0.7776        | 37.0  | 222  | 0.7742          |
+| 0.7767        | 38.0  | 228  | 0.7602          |
+| 0.795         | 39.0  | 234  | 0.7568          |
+| 0.8284        | 40.0  | 240  | 0.7556          |
+
+
+### 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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