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: 0.0923
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 |
|---|---|---|---|
| 3.0524 | 1.0 | 6 | 2.3364 |
| 2.0601 | 2.0 | 12 | 1.7532 |
| 1.5868 | 3.0 | 18 | 1.3439 |
| 1.2198 | 4.0 | 24 | 1.0697 |
| 1.0324 | 5.0 | 30 | 0.9496 |
| 0.8954 | 6.0 | 36 | 0.8209 |
| 0.7853 | 7.0 | 42 | 0.7529 |
| 0.7118 | 8.0 | 48 | 0.6709 |
| 0.6574 | 9.0 | 54 | 0.6452 |
| 0.6368 | 10.0 | 60 | 0.5870 |
| 0.5746 | 11.0 | 66 | 0.5092 |
| 0.5092 | 12.0 | 72 | 0.4923 |
| 0.4829 | 13.0 | 78 | 0.4596 |
| 0.4542 | 14.0 | 84 | 0.4221 |
| 0.4286 | 15.0 | 90 | 0.3805 |
| 0.3987 | 16.0 | 96 | 0.3707 |
| 0.3704 | 17.0 | 102 | 0.3424 |
| 0.3639 | 18.0 | 108 | 0.3204 |
| 0.3297 | 19.0 | 114 | 0.2918 |
| 0.3085 | 20.0 | 120 | 0.2683 |
| 0.2814 | 21.0 | 126 | 0.2524 |
| 0.2667 | 22.0 | 132 | 0.2489 |
| 0.2593 | 23.0 | 138 | 0.2238 |
| 0.2427 | 24.0 | 144 | 0.2168 |
| 0.2318 | 25.0 | 150 | 0.2048 |
| 0.226 | 26.0 | 156 | 0.2018 |
| 0.2085 | 27.0 | 162 | 0.1860 |
| 0.1976 | 28.0 | 168 | 0.1800 |
| 0.1928 | 29.0 | 174 | 0.1621 |
| 0.1814 | 30.0 | 180 | 0.1551 |
| 0.1758 | 31.0 | 186 | 0.1398 |
| 0.1598 | 32.0 | 192 | 0.1291 |
| 0.1541 | 33.0 | 198 | 0.1206 |
| 0.1411 | 34.0 | 204 | 0.1097 |
| 0.1371 | 35.0 | 210 | 0.1042 |
| 0.1299 | 36.0 | 216 | 0.1015 |
| 0.1273 | 37.0 | 222 | 0.0955 |
| 0.1214 | 38.0 | 228 | 0.0944 |
| 0.1161 | 39.0 | 234 | 0.0935 |
| 0.1188 | 40.0 | 240 | 0.0923 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2