|
--- |
|
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: 0.0824 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.9085 | 1.0 | 6 | 2.2339 | |
|
| 1.9955 | 2.0 | 12 | 1.7507 | |
|
| 1.5891 | 3.0 | 18 | 1.3630 | |
|
| 1.221 | 4.0 | 24 | 1.0757 | |
|
| 1.0321 | 5.0 | 30 | 0.9606 | |
|
| 0.9056 | 6.0 | 36 | 0.8336 | |
|
| 0.8119 | 7.0 | 42 | 0.7754 | |
|
| 0.7251 | 8.0 | 48 | 0.7105 | |
|
| 0.679 | 9.0 | 54 | 0.6689 | |
|
| 0.6367 | 10.0 | 60 | 0.6193 | |
|
| 0.5903 | 11.0 | 66 | 0.5498 | |
|
| 0.5423 | 12.0 | 72 | 0.5078 | |
|
| 0.5121 | 13.0 | 78 | 0.5079 | |
|
| 0.4916 | 14.0 | 84 | 0.4614 | |
|
| 0.4659 | 15.0 | 90 | 0.4271 | |
|
| 0.4173 | 16.0 | 96 | 0.4071 | |
|
| 0.3995 | 17.0 | 102 | 0.3885 | |
|
| 0.3809 | 18.0 | 108 | 0.3586 | |
|
| 0.3564 | 19.0 | 114 | 0.3231 | |
|
| 0.3277 | 20.0 | 120 | 0.3317 | |
|
| 0.3156 | 21.0 | 126 | 0.3146 | |
|
| 0.3124 | 22.0 | 132 | 0.3063 | |
|
| 0.2829 | 23.0 | 138 | 0.2604 | |
|
| 0.2624 | 24.0 | 144 | 0.2385 | |
|
| 0.2431 | 25.0 | 150 | 0.2421 | |
|
| 0.23 | 26.0 | 156 | 0.1983 | |
|
| 0.1995 | 27.0 | 162 | 0.1716 | |
|
| 0.1857 | 28.0 | 168 | 0.1565 | |
|
| 0.1654 | 29.0 | 174 | 0.1325 | |
|
| 0.1477 | 30.0 | 180 | 0.1246 | |
|
| 0.1489 | 31.0 | 186 | 0.1188 | |
|
| 0.1352 | 32.0 | 192 | 0.1075 | |
|
| 0.1232 | 33.0 | 198 | 0.1017 | |
|
| 0.1205 | 34.0 | 204 | 0.0963 | |
|
| 0.1125 | 35.0 | 210 | 0.0912 | |
|
| 0.1149 | 36.0 | 216 | 0.0903 | |
|
| 0.1081 | 37.0 | 222 | 0.0903 | |
|
| 0.1069 | 38.0 | 228 | 0.0851 | |
|
| 0.1046 | 39.0 | 234 | 0.0828 | |
|
| 0.0996 | 40.0 | 240 | 0.0824 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
