|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: calculator_model_test_second_version |
|
|
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_second_version |
|
|
|
|
|
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: 0.1239 |
|
|
|
|
|
## 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: 100 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 3.4193 | 1.0 | 6 | 2.7303 | |
|
|
| 2.3495 | 2.0 | 12 | 1.9121 | |
|
|
| 1.7677 | 3.0 | 18 | 1.6227 | |
|
|
| 1.6093 | 4.0 | 24 | 1.5830 | |
|
|
| 1.5528 | 5.0 | 30 | 1.5309 | |
|
|
| 1.5114 | 6.0 | 36 | 1.4526 | |
|
|
| 1.4513 | 7.0 | 42 | 1.3988 | |
|
|
| 1.4022 | 8.0 | 48 | 1.3442 | |
|
|
| 1.3473 | 9.0 | 54 | 1.2809 | |
|
|
| 1.2985 | 10.0 | 60 | 1.2159 | |
|
|
| 1.2173 | 11.0 | 66 | 1.1870 | |
|
|
| 1.1373 | 12.0 | 72 | 1.0899 | |
|
|
| 1.0855 | 13.0 | 78 | 1.0270 | |
|
|
| 1.04 | 14.0 | 84 | 0.9607 | |
|
|
| 1.0274 | 15.0 | 90 | 0.9749 | |
|
|
| 0.9975 | 16.0 | 96 | 0.9045 | |
|
|
| 0.9274 | 17.0 | 102 | 0.9247 | |
|
|
| 0.8963 | 18.0 | 108 | 0.8161 | |
|
|
| 0.8767 | 19.0 | 114 | 0.8131 | |
|
|
| 0.8764 | 20.0 | 120 | 0.9056 | |
|
|
| 0.8763 | 21.0 | 126 | 0.7668 | |
|
|
| 0.8097 | 22.0 | 132 | 0.8305 | |
|
|
| 0.8 | 23.0 | 138 | 0.7579 | |
|
|
| 0.7483 | 24.0 | 144 | 0.7418 | |
|
|
| 0.8242 | 25.0 | 150 | 0.7103 | |
|
|
| 0.7375 | 26.0 | 156 | 0.6743 | |
|
|
| 0.7078 | 27.0 | 162 | 0.6516 | |
|
|
| 0.7112 | 28.0 | 168 | 0.7178 | |
|
|
| 0.7518 | 29.0 | 174 | 0.7132 | |
|
|
| 0.6874 | 30.0 | 180 | 0.6438 | |
|
|
| 0.6671 | 31.0 | 186 | 0.6512 | |
|
|
| 0.6595 | 32.0 | 192 | 0.6338 | |
|
|
| 0.6375 | 33.0 | 198 | 0.5772 | |
|
|
| 0.5933 | 34.0 | 204 | 0.5397 | |
|
|
| 0.5938 | 35.0 | 210 | 0.5182 | |
|
|
| 0.5818 | 36.0 | 216 | 0.5315 | |
|
|
| 0.6946 | 37.0 | 222 | 0.9134 | |
|
|
| 0.7946 | 38.0 | 228 | 0.7031 | |
|
|
| 0.7079 | 39.0 | 234 | 0.6212 | |
|
|
| 0.6055 | 40.0 | 240 | 0.5024 | |
|
|
| 0.5524 | 41.0 | 246 | 0.5142 | |
|
|
| 0.543 | 42.0 | 252 | 0.4946 | |
|
|
| 0.5265 | 43.0 | 258 | 0.4820 | |
|
|
| 0.5339 | 44.0 | 264 | 0.6029 | |
|
|
| 0.5624 | 45.0 | 270 | 0.5800 | |
|
|
| 0.5097 | 46.0 | 276 | 0.4858 | |
|
|
| 0.5059 | 47.0 | 282 | 0.4554 | |
|
|
| 0.4807 | 48.0 | 288 | 0.4538 | |
|
|
| 0.4824 | 49.0 | 294 | 0.4248 | |
|
|
| 0.4691 | 50.0 | 300 | 0.3919 | |
|
|
| 0.5413 | 51.0 | 306 | 0.5179 | |
|
|
| 0.5131 | 52.0 | 312 | 0.3809 | |
|
|
| 0.4312 | 53.0 | 318 | 0.3955 | |
|
|
| 0.4226 | 54.0 | 324 | 0.3597 | |
|
|
| 0.4059 | 55.0 | 330 | 0.3501 | |
|
|
| 0.3887 | 56.0 | 336 | 0.3281 | |
|
|
| 0.3784 | 57.0 | 342 | 0.3294 | |
|
|
| 0.3696 | 58.0 | 348 | 0.2937 | |
|
|
| 0.3694 | 59.0 | 354 | 0.3153 | |
|
|
| 0.3815 | 60.0 | 360 | 0.2878 | |
|
|
| 0.3575 | 61.0 | 366 | 0.3236 | |
|
|
| 0.3527 | 62.0 | 372 | 0.2940 | |
|
|
| 0.3481 | 63.0 | 378 | 0.2703 | |
|
|
| 0.3466 | 64.0 | 384 | 0.3331 | |
|
|
| 0.4037 | 65.0 | 390 | 0.3615 | |
|
|
| 0.363 | 66.0 | 396 | 0.3057 | |
|
|
| 0.3374 | 67.0 | 402 | 0.2810 | |
|
|
| 0.3256 | 68.0 | 408 | 0.2785 | |
|
|
| 0.3206 | 69.0 | 414 | 0.2553 | |
|
|
| 0.306 | 70.0 | 420 | 0.2336 | |
|
|
| 0.2884 | 71.0 | 426 | 0.2361 | |
|
|
| 0.2892 | 72.0 | 432 | 0.2257 | |
|
|
| 0.275 | 73.0 | 438 | 0.2237 | |
|
|
| 0.2968 | 74.0 | 444 | 0.2405 | |
|
|
| 0.2879 | 75.0 | 450 | 0.2139 | |
|
|
| 0.2832 | 76.0 | 456 | 0.2139 | |
|
|
| 0.2726 | 77.0 | 462 | 0.2174 | |
|
|
| 0.2687 | 78.0 | 468 | 0.2037 | |
|
|
| 0.2609 | 79.0 | 474 | 0.1833 | |
|
|
| 0.2518 | 80.0 | 480 | 0.1836 | |
|
|
| 0.253 | 81.0 | 486 | 0.1861 | |
|
|
| 0.2417 | 82.0 | 492 | 0.1650 | |
|
|
| 0.2279 | 83.0 | 498 | 0.1706 | |
|
|
| 0.2323 | 84.0 | 504 | 0.1785 | |
|
|
| 0.225 | 85.0 | 510 | 0.1694 | |
|
|
| 0.2194 | 86.0 | 516 | 0.1586 | |
|
|
| 0.2217 | 87.0 | 522 | 0.1575 | |
|
|
| 0.2093 | 88.0 | 528 | 0.1497 | |
|
|
| 0.2109 | 89.0 | 534 | 0.1562 | |
|
|
| 0.2081 | 90.0 | 540 | 0.1549 | |
|
|
| 0.2027 | 91.0 | 546 | 0.1419 | |
|
|
| 0.1982 | 92.0 | 552 | 0.1347 | |
|
|
| 0.1951 | 93.0 | 558 | 0.1355 | |
|
|
| 0.1893 | 94.0 | 564 | 0.1338 | |
|
|
| 0.1881 | 95.0 | 570 | 0.1336 | |
|
|
| 0.1911 | 96.0 | 576 | 0.1303 | |
|
|
| 0.1862 | 97.0 | 582 | 0.1289 | |
|
|
| 0.1882 | 98.0 | 588 | 0.1301 | |
|
|
| 0.1792 | 99.0 | 594 | 0.1250 | |
|
|
| 0.176 | 100.0 | 600 | 0.1239 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.38.2 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
|
|
|
