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: 0.6494
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.41          | 1.0   | 6    | 2.7285          |
+| 2.3554        | 2.0   | 12   | 1.9345          |
+| 1.7997        | 3.0   | 18   | 1.7097          |
+| 1.6321        | 4.0   | 24   | 1.5813          |
+| 1.5569        | 5.0   | 30   | 1.5555          |
+| 1.5351        | 6.0   | 36   | 1.5315          |
+| 1.5153        | 7.0   | 42   | 1.4900          |
+| 1.4628        | 8.0   | 48   | 1.4687          |
+| 1.4525        | 9.0   | 54   | 1.4173          |
+| 1.4163        | 10.0  | 60   | 1.4669          |
+| 1.4614        | 11.0  | 66   | 1.4160          |
+| 1.4123        | 12.0  | 72   | 1.5650          |
+| 1.4659        | 13.0  | 78   | 1.3993          |
+| 1.3836        | 14.0  | 84   | 1.3573          |
+| 1.3294        | 15.0  | 90   | 1.2931          |
+| 1.2608        | 16.0  | 96   | 1.2117          |
+| 1.1995        | 17.0  | 102  | 1.1448          |
+| 1.128         | 18.0  | 108  | 1.0709          |
+| 1.0898        | 19.0  | 114  | 1.0349          |
+| 1.0419        | 20.0  | 120  | 0.9931          |
+| 1.0328        | 21.0  | 126  | 0.9382          |
+| 0.977         | 22.0  | 132  | 0.9141          |
+| 0.9489        | 23.0  | 138  | 0.8951          |
+| 0.909         | 24.0  | 144  | 0.8683          |
+| 0.8942        | 25.0  | 150  | 0.8752          |
+| 0.879         | 26.0  | 156  | 0.8352          |
+| 0.8636        | 27.0  | 162  | 0.7924          |
+| 0.836         | 28.0  | 168  | 0.7670          |
+| 0.8144        | 29.0  | 174  | 0.7784          |
+| 0.7994        | 30.0  | 180  | 0.7718          |
+| 0.8059        | 31.0  | 186  | 0.7409          |
+| 0.8033        | 32.0  | 192  | 0.7347          |
+| 0.7942        | 33.0  | 198  | 0.7163          |
+| 0.7723        | 34.0  | 204  | 0.6903          |
+| 0.7396        | 35.0  | 210  | 0.6846          |
+| 0.7462        | 36.0  | 216  | 0.6722          |
+| 0.7344        | 37.0  | 222  | 0.6712          |
+| 0.728         | 38.0  | 228  | 0.6564          |
+| 0.7185        | 39.0  | 234  | 0.6536          |
+| 0.7316        | 40.0  | 240  | 0.6494          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.0
+- 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": "4.45.2"
+}