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--- |
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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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| 0.774 | 1.0 | 6 | 0.6889 | |
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| 0.6421 | 2.0 | 12 | 0.5684 | |
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| 0.5589 | 3.0 | 18 | 0.5287 | |
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| 0.5027 | 4.0 | 24 | 0.4892 | |
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| 0.4758 | 5.0 | 30 | 0.4412 | |
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| 0.4368 | 6.0 | 36 | 0.3770 | |
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| 0.3433 | 7.0 | 42 | 0.3218 | |
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| 0.2925 | 8.0 | 48 | 0.2518 | |
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| 0.2501 | 9.0 | 54 | 0.2048 | |
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| 0.2011 | 10.0 | 60 | 0.1582 | |
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| 0.1645 | 11.0 | 66 | 0.1267 | |
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| 0.1205 | 12.0 | 72 | 0.1078 | |
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| 0.1064 | 13.0 | 78 | 0.1005 | |
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| 0.0961 | 14.0 | 84 | 0.0677 | |
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| 0.0953 | 15.0 | 90 | 0.0549 | |
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| 0.069 | 16.0 | 96 | 0.0480 | |
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| 0.0593 | 17.0 | 102 | 0.0371 | |
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| 0.0516 | 18.0 | 108 | 0.0292 | |
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| 0.0436 | 19.0 | 114 | 0.0242 | |
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| 0.0381 | 20.0 | 120 | 0.0252 | |
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| 0.035 | 21.0 | 126 | 0.0157 | |
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| 0.0341 | 22.0 | 132 | 0.0135 | |
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| 0.0361 | 23.0 | 138 | 0.0140 | |
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| 0.0292 | 24.0 | 144 | 0.0117 | |
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| 0.0245 | 25.0 | 150 | 0.0131 | |
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| 0.0223 | 26.0 | 156 | 0.0082 | |
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| 0.0216 | 27.0 | 162 | 0.0093 | |
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| 0.0156 | 28.0 | 168 | 0.0073 | |
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| 0.0135 | 29.0 | 174 | 0.0054 | |
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| 0.0113 | 30.0 | 180 | 0.0052 | |
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| 0.0108 | 31.0 | 186 | 0.0045 | |
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| 0.0084 | 32.0 | 192 | 0.0042 | |
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| 0.0084 | 33.0 | 198 | 0.0039 | |
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| 0.0074 | 34.0 | 204 | 0.0037 | |
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| 0.007 | 35.0 | 210 | 0.0036 | |
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| 0.0067 | 36.0 | 216 | 0.0036 | |
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| 0.0065 | 37.0 | 222 | 0.0035 | |
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| 0.0066 | 38.0 | 228 | 0.0034 | |
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| 0.0066 | 39.0 | 234 | 0.0034 | |
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| 0.0064 | 40.0 | 240 | 0.0034 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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