|
|
--- |
|
|
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: 0.0095 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 2.4753 | 1.0 | 13 | 1.7336 | |
|
|
| 1.3843 | 2.0 | 26 | 0.9380 | |
|
|
| 0.8281 | 3.0 | 39 | 0.7141 | |
|
|
| 0.6509 | 4.0 | 52 | 0.5507 | |
|
|
| 0.5643 | 5.0 | 65 | 0.5065 | |
|
|
| 0.5155 | 6.0 | 78 | 0.4642 | |
|
|
| 0.445 | 7.0 | 91 | 0.3848 | |
|
|
| 0.3912 | 8.0 | 104 | 0.3584 | |
|
|
| 0.3564 | 9.0 | 117 | 0.3142 | |
|
|
| 0.3175 | 10.0 | 130 | 0.2663 | |
|
|
| 0.2765 | 11.0 | 143 | 0.2291 | |
|
|
| 0.2436 | 12.0 | 156 | 0.1915 | |
|
|
| 0.2186 | 13.0 | 169 | 0.1556 | |
|
|
| 0.1646 | 14.0 | 182 | 0.1097 | |
|
|
| 0.1504 | 15.0 | 195 | 0.0862 | |
|
|
| 0.113 | 16.0 | 208 | 0.0725 | |
|
|
| 0.0864 | 17.0 | 221 | 0.0500 | |
|
|
| 0.0722 | 18.0 | 234 | 0.0425 | |
|
|
| 0.0654 | 19.0 | 247 | 0.0389 | |
|
|
| 0.0581 | 20.0 | 260 | 0.0312 | |
|
|
| 0.052 | 21.0 | 273 | 0.0284 | |
|
|
| 0.0459 | 22.0 | 286 | 0.0275 | |
|
|
| 0.0426 | 23.0 | 299 | 0.0213 | |
|
|
| 0.0381 | 24.0 | 312 | 0.0200 | |
|
|
| 0.0374 | 25.0 | 325 | 0.0186 | |
|
|
| 0.0334 | 26.0 | 338 | 0.0185 | |
|
|
| 0.0307 | 27.0 | 351 | 0.0157 | |
|
|
| 0.0292 | 28.0 | 364 | 0.0147 | |
|
|
| 0.0269 | 29.0 | 377 | 0.0146 | |
|
|
| 0.0261 | 30.0 | 390 | 0.0129 | |
|
|
| 0.0248 | 31.0 | 403 | 0.0121 | |
|
|
| 0.0237 | 32.0 | 416 | 0.0114 | |
|
|
| 0.023 | 33.0 | 429 | 0.0115 | |
|
|
| 0.0217 | 34.0 | 442 | 0.0109 | |
|
|
| 0.0208 | 35.0 | 455 | 0.0101 | |
|
|
| 0.0205 | 36.0 | 468 | 0.0102 | |
|
|
| 0.0197 | 37.0 | 481 | 0.0098 | |
|
|
| 0.0193 | 38.0 | 494 | 0.0096 | |
|
|
| 0.019 | 39.0 | 507 | 0.0094 | |
|
|
| 0.0188 | 40.0 | 520 | 0.0095 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.38.1 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
|
|
|
