|
--- |
|
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: 0.0455 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.7845 | 1.0 | 6 | 2.1181 | |
|
| 1.8407 | 2.0 | 12 | 1.5060 | |
|
| 1.2932 | 3.0 | 18 | 1.0056 | |
|
| 0.8986 | 4.0 | 24 | 0.8024 | |
|
| 0.741 | 5.0 | 30 | 0.7078 | |
|
| 0.6482 | 6.0 | 36 | 0.5938 | |
|
| 0.5563 | 7.0 | 42 | 0.5336 | |
|
| 0.498 | 8.0 | 48 | 0.4787 | |
|
| 0.4542 | 9.0 | 54 | 0.4216 | |
|
| 0.4078 | 10.0 | 60 | 0.4064 | |
|
| 0.3819 | 11.0 | 66 | 0.3621 | |
|
| 0.3536 | 12.0 | 72 | 0.3261 | |
|
| 0.318 | 13.0 | 78 | 0.2967 | |
|
| 0.2913 | 14.0 | 84 | 0.2793 | |
|
| 0.2734 | 15.0 | 90 | 0.2498 | |
|
| 0.2549 | 16.0 | 96 | 0.2557 | |
|
| 0.2541 | 17.0 | 102 | 0.2252 | |
|
| 0.2274 | 18.0 | 108 | 0.2301 | |
|
| 0.2272 | 19.0 | 114 | 0.2112 | |
|
| 0.1963 | 20.0 | 120 | 0.1780 | |
|
| 0.1744 | 21.0 | 126 | 0.1734 | |
|
| 0.1805 | 22.0 | 132 | 0.1520 | |
|
| 0.1599 | 23.0 | 138 | 0.1314 | |
|
| 0.1517 | 24.0 | 144 | 0.1364 | |
|
| 0.1469 | 25.0 | 150 | 0.1583 | |
|
| 0.1524 | 26.0 | 156 | 0.1381 | |
|
| 0.1411 | 27.0 | 162 | 0.1048 | |
|
| 0.1196 | 28.0 | 168 | 0.0964 | |
|
| 0.1095 | 29.0 | 174 | 0.0900 | |
|
| 0.1068 | 30.0 | 180 | 0.0798 | |
|
| 0.0985 | 31.0 | 186 | 0.0742 | |
|
| 0.0897 | 32.0 | 192 | 0.0677 | |
|
| 0.0839 | 33.0 | 198 | 0.0638 | |
|
| 0.0756 | 34.0 | 204 | 0.0579 | |
|
| 0.0771 | 35.0 | 210 | 0.0555 | |
|
| 0.0709 | 36.0 | 216 | 0.0507 | |
|
| 0.068 | 37.0 | 222 | 0.0482 | |
|
| 0.0657 | 38.0 | 228 | 0.0472 | |
|
| 0.0661 | 39.0 | 234 | 0.0466 | |
|
| 0.0643 | 40.0 | 240 | 0.0455 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
