End of training
Browse files- README.md +95 -0
- generation_config.json +7 -0
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: calculator_model_test
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# calculator_model_test
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6459
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 512
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- eval_batch_size: 512
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 40
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.3906 | 1.0 | 6 | 2.7256 |
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| 2.3769 | 2.0 | 12 | 1.9990 |
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| 1.861 | 3.0 | 18 | 1.6958 |
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| 1.6322 | 4.0 | 24 | 1.5805 |
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| 1.5721 | 5.0 | 30 | 1.5422 |
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| 1.5184 | 6.0 | 36 | 1.5180 |
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| 1.4832 | 7.0 | 42 | 1.5010 |
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| 1.4849 | 8.0 | 48 | 1.5123 |
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| 1.462 | 9.0 | 54 | 1.4417 |
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| 1.4298 | 10.0 | 60 | 1.4435 |
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| 1.4279 | 11.0 | 66 | 1.4251 |
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| 1.4448 | 12.0 | 72 | 1.3547 |
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| 1.3379 | 13.0 | 78 | 1.3969 |
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| 1.3537 | 14.0 | 84 | 1.2676 |
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| 1.2642 | 15.0 | 90 | 1.1872 |
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| 1.2176 | 16.0 | 96 | 1.1717 |
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| 1.1637 | 17.0 | 102 | 1.1720 |
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| 1.1542 | 18.0 | 108 | 1.0787 |
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| 1.0647 | 19.0 | 114 | 1.0448 |
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| 1.0532 | 20.0 | 120 | 0.9690 |
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| 0.9851 | 21.0 | 126 | 1.0202 |
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| 1.0039 | 22.0 | 132 | 0.9606 |
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| 0.9611 | 23.0 | 138 | 0.9038 |
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| 0.945 | 24.0 | 144 | 0.9449 |
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| 0.9189 | 25.0 | 150 | 0.8462 |
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| 0.87 | 26.0 | 156 | 0.8271 |
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| 0.8647 | 27.0 | 162 | 0.8263 |
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| 0.8469 | 28.0 | 168 | 0.7877 |
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| 0.8159 | 29.0 | 174 | 0.7557 |
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| 0.7941 | 30.0 | 180 | 0.7365 |
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| 0.7619 | 31.0 | 186 | 0.7333 |
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| 0.7643 | 32.0 | 192 | 0.7197 |
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| 0.7689 | 33.0 | 198 | 0.7006 |
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| 0.7508 | 34.0 | 204 | 0.6877 |
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| 0.7349 | 35.0 | 210 | 0.6797 |
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| 0.7214 | 36.0 | 216 | 0.6733 |
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| 0.7172 | 37.0 | 222 | 0.6600 |
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| 0.7152 | 38.0 | 228 | 0.6582 |
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| 0.6935 | 39.0 | 234 | 0.6510 |
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| 0.696 | 40.0 | 240 | 0.6459 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 2,
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"eos_token_id": 0,
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"pad_token_id": 3,
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"transformers_version": "4.48.3"
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}
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