metadata
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
calculator_model_test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8456
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: 0.0001
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5829 | 1.0 | 6 | 3.1864 |
| 3.0602 | 2.0 | 12 | 2.8642 |
| 2.7987 | 3.0 | 18 | 2.6521 |
| 2.6074 | 4.0 | 24 | 2.5190 |
| 2.5114 | 5.0 | 30 | 2.4076 |
| 2.3968 | 6.0 | 36 | 2.3019 |
| 2.2612 | 7.0 | 42 | 2.2065 |
| 2.1937 | 8.0 | 48 | 2.1258 |
| 2.1043 | 9.0 | 54 | 2.0391 |
| 2.0193 | 10.0 | 60 | 1.9546 |
| 1.9518 | 11.0 | 66 | 1.8654 |
| 1.8505 | 12.0 | 72 | 1.7672 |
| 1.7482 | 13.0 | 78 | 1.6792 |
| 1.695 | 14.0 | 84 | 1.6032 |
| 1.6015 | 15.0 | 90 | 1.5389 |
| 1.5568 | 16.0 | 96 | 1.4837 |
| 1.4888 | 17.0 | 102 | 1.4349 |
| 1.4429 | 18.0 | 108 | 1.3923 |
| 1.392 | 19.0 | 114 | 1.3534 |
| 1.3448 | 20.0 | 120 | 1.3181 |
| 1.306 | 21.0 | 126 | 1.2881 |
| 1.2845 | 22.0 | 132 | 1.2568 |
| 1.2813 | 23.0 | 138 | 1.2262 |
| 1.2479 | 24.0 | 144 | 1.1989 |
| 1.2164 | 25.0 | 150 | 1.1719 |
| 1.2116 | 26.0 | 156 | 1.1514 |
| 1.1514 | 27.0 | 162 | 1.1247 |
| 1.1571 | 28.0 | 168 | 1.1012 |
| 1.1334 | 29.0 | 174 | 1.0781 |
| 1.1193 | 30.0 | 180 | 1.0559 |
| 1.0721 | 31.0 | 186 | 1.0307 |
| 1.041 | 32.0 | 192 | 1.0095 |
| 1.02 | 33.0 | 198 | 0.9873 |
| 1.0145 | 34.0 | 204 | 0.9694 |
| 0.9817 | 35.0 | 210 | 0.9526 |
| 0.9905 | 36.0 | 216 | 0.9391 |
| 0.9691 | 37.0 | 222 | 0.9243 |
| 0.9294 | 38.0 | 228 | 0.9117 |
| 0.9265 | 39.0 | 234 | 0.8995 |
| 0.9165 | 40.0 | 240 | 0.8897 |
| 0.9059 | 41.0 | 246 | 0.8805 |
| 0.8916 | 42.0 | 252 | 0.8727 |
| 0.8632 | 43.0 | 258 | 0.8659 |
| 0.8767 | 44.0 | 264 | 0.8608 |
| 0.8878 | 45.0 | 270 | 0.8564 |
| 0.8914 | 46.0 | 276 | 0.8522 |
| 0.8632 | 47.0 | 282 | 0.8491 |
| 0.8638 | 48.0 | 288 | 0.8469 |
| 0.843 | 49.0 | 294 | 0.8460 |
| 0.8565 | 50.0 | 300 | 0.8456 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2