End of training

README.md

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+---
+library_name: transformers
+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: 0.9427
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.3503        | 1.0   | 6    | 2.7241          |
+| 2.3455        | 2.0   | 12   | 1.9678          |
+| 1.8004        | 3.0   | 18   | 1.6594          |
+| 1.6357        | 4.0   | 24   | 1.5783          |
+| 1.5655        | 5.0   | 30   | 1.5659          |
+| 1.5598        | 6.0   | 36   | 1.5450          |
+| 1.5758        | 7.0   | 42   | 1.5499          |
+| 1.5624        | 8.0   | 48   | 1.5532          |
+| 1.5206        | 9.0   | 54   | 1.5342          |
+| 1.5118        | 10.0  | 60   | 1.5147          |
+| 1.4941        | 11.0  | 66   | 1.4801          |
+| 1.4838        | 12.0  | 72   | 1.4938          |
+| 1.4778        | 13.0  | 78   | 1.5025          |
+| 1.468         | 14.0  | 84   | 1.4822          |
+| 1.4628        | 15.0  | 90   | 1.4562          |
+| 1.4596        | 16.0  | 96   | 1.4691          |
+| 1.4528        | 17.0  | 102  | 1.4443          |
+| 1.4412        | 18.0  | 108  | 1.4333          |
+| 1.4244        | 19.0  | 114  | 1.4197          |
+| 1.4061        | 20.0  | 120  | 1.3935          |
+| 1.3793        | 21.0  | 126  | 1.3658          |
+| 1.358         | 22.0  | 132  | 1.3587          |
+| 1.3589        | 23.0  | 138  | 1.3947          |
+| 1.345         | 24.0  | 144  | 1.3501          |
+| 1.3282        | 25.0  | 150  | 1.2799          |
+| 1.3115        | 26.0  | 156  | 1.2315          |
+| 1.2202        | 27.0  | 162  | 1.1887          |
+| 1.1889        | 28.0  | 168  | 1.1324          |
+| 1.1507        | 29.0  | 174  | 1.1122          |
+| 1.1265        | 30.0  | 180  | 1.0905          |
+| 1.1037        | 31.0  | 186  | 1.0430          |
+| 1.0908        | 32.0  | 192  | 1.0276          |
+| 1.053         | 33.0  | 198  | 1.0287          |
+| 1.0544        | 34.0  | 204  | 1.0085          |
+| 1.0249        | 35.0  | 210  | 1.0045          |
+| 1.0319        | 36.0  | 216  | 0.9692          |
+| 0.9985        | 37.0  | 222  | 0.9631          |
+| 0.9895        | 38.0  | 228  | 0.9541          |
+| 0.9854        | 39.0  | 234  | 0.9464          |
+| 0.976         | 40.0  | 240  | 0.9427          |
+
+
+### Framework versions
+
+- Transformers 4.45.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 0,
+  "pad_token_id": 3,
+  "transformers_version": "4.45.0"
+}