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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: 0.0034 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 2.6369 | 1.0 | 6 | 2.0477 | |
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| 1.7565 | 2.0 | 12 | 1.3737 | |
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| 1.1734 | 3.0 | 18 | 0.9502 | |
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| 0.8518 | 4.0 | 24 | 0.7393 | |
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| 0.6819 | 5.0 | 30 | 0.5983 | |
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| 0.5682 | 6.0 | 36 | 0.5471 | |
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| 0.5061 | 7.0 | 42 | 0.4669 | |
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| 0.4481 | 8.0 | 48 | 0.4075 | |
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| 0.3943 | 9.0 | 54 | 0.3609 | |
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| 0.3549 | 10.0 | 60 | 0.3064 | |
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| 0.3008 | 11.0 | 66 | 0.2429 | |
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| 0.273 | 12.0 | 72 | 0.2077 | |
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| 0.2174 | 13.0 | 78 | 0.1596 | |
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| 0.1708 | 14.0 | 84 | 0.1402 | |
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| 0.1405 | 15.0 | 90 | 0.0785 | |
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| 0.1068 | 16.0 | 96 | 0.0725 | |
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| 0.1017 | 17.0 | 102 | 0.0490 | |
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| 0.0684 | 18.0 | 108 | 0.0417 | |
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| 0.0565 | 19.0 | 114 | 0.0290 | |
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| 0.0487 | 20.0 | 120 | 0.0237 | |
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| 0.0403 | 21.0 | 126 | 0.0164 | |
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| 0.0323 | 22.0 | 132 | 0.0141 | |
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| 0.0277 | 23.0 | 138 | 0.0126 | |
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| 0.0234 | 24.0 | 144 | 0.0088 | |
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| 0.0219 | 25.0 | 150 | 0.0076 | |
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| 0.0215 | 26.0 | 156 | 0.0088 | |
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| 0.0175 | 27.0 | 162 | 0.0072 | |
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| 0.0152 | 28.0 | 168 | 0.0057 | |
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| 0.0198 | 29.0 | 174 | 0.0057 | |
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| 0.0146 | 30.0 | 180 | 0.0055 | |
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| 0.0126 | 31.0 | 186 | 0.0055 | |
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| 0.0125 | 32.0 | 192 | 0.0045 | |
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| 0.0108 | 33.0 | 198 | 0.0041 | |
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| 0.0091 | 34.0 | 204 | 0.0042 | |
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| 0.0076 | 35.0 | 210 | 0.0038 | |
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| 0.0076 | 36.0 | 216 | 0.0036 | |
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| 0.0072 | 37.0 | 222 | 0.0035 | |
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| 0.0067 | 38.0 | 228 | 0.0035 | |
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| 0.0066 | 39.0 | 234 | 0.0034 | |
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| 0.0065 | 40.0 | 240 | 0.0034 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.20.3 |
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