|
--- |
|
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: 0.3798 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.8946 | 1.0 | 41 | 2.3454 | |
|
| 2.1015 | 2.0 | 82 | 1.9329 | |
|
| 1.8297 | 3.0 | 123 | 1.6538 | |
|
| 1.4394 | 4.0 | 164 | 1.2883 | |
|
| 1.2328 | 5.0 | 205 | 1.1711 | |
|
| 1.1398 | 6.0 | 246 | 1.0309 | |
|
| 1.0575 | 7.0 | 287 | 0.9585 | |
|
| 0.9607 | 8.0 | 328 | 0.9029 | |
|
| 0.8955 | 9.0 | 369 | 0.8200 | |
|
| 0.8318 | 10.0 | 410 | 0.7741 | |
|
| 0.7961 | 11.0 | 451 | 0.7525 | |
|
| 0.7713 | 12.0 | 492 | 0.7437 | |
|
| 0.7477 | 13.0 | 533 | 0.6924 | |
|
| 0.7197 | 14.0 | 574 | 0.6796 | |
|
| 0.6971 | 15.0 | 615 | 0.6514 | |
|
| 0.6734 | 16.0 | 656 | 0.6209 | |
|
| 0.6593 | 17.0 | 697 | 0.6080 | |
|
| 0.6396 | 18.0 | 738 | 0.5799 | |
|
| 0.6208 | 19.0 | 779 | 0.5706 | |
|
| 0.6004 | 20.0 | 820 | 0.5619 | |
|
| 0.5805 | 21.0 | 861 | 0.5368 | |
|
| 0.5765 | 22.0 | 902 | 0.5237 | |
|
| 0.5591 | 23.0 | 943 | 0.5110 | |
|
| 0.5462 | 24.0 | 984 | 0.5035 | |
|
| 0.5345 | 25.0 | 1025 | 0.4991 | |
|
| 0.5208 | 26.0 | 1066 | 0.4734 | |
|
| 0.5064 | 27.0 | 1107 | 0.4680 | |
|
| 0.4989 | 28.0 | 1148 | 0.4560 | |
|
| 0.4892 | 29.0 | 1189 | 0.4560 | |
|
| 0.4821 | 30.0 | 1230 | 0.4438 | |
|
| 0.4726 | 31.0 | 1271 | 0.4383 | |
|
| 0.4659 | 32.0 | 1312 | 0.4314 | |
|
| 0.453 | 33.0 | 1353 | 0.4122 | |
|
| 0.4466 | 34.0 | 1394 | 0.4115 | |
|
| 0.4393 | 35.0 | 1435 | 0.3996 | |
|
| 0.4315 | 36.0 | 1476 | 0.4007 | |
|
| 0.4266 | 37.0 | 1517 | 0.3949 | |
|
| 0.4219 | 38.0 | 1558 | 0.3878 | |
|
| 0.416 | 39.0 | 1599 | 0.3816 | |
|
| 0.4133 | 40.0 | 1640 | 0.3798 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
