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: 0.1675
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 |
|---|---|---|---|
| 2.9654 | 1.0 | 6 | 2.2731 |
| 2.0238 | 2.0 | 12 | 1.7268 |
| 1.5275 | 3.0 | 18 | 1.2838 |
| 1.187 | 4.0 | 24 | 1.0874 |
| 1.0242 | 5.0 | 30 | 0.9517 |
| 0.9122 | 6.0 | 36 | 0.8367 |
| 0.8028 | 7.0 | 42 | 0.8002 |
| 0.762 | 8.0 | 48 | 0.7533 |
| 0.6956 | 9.0 | 54 | 0.6658 |
| 0.6503 | 10.0 | 60 | 0.6102 |
| 0.6071 | 11.0 | 66 | 0.5720 |
| 0.5785 | 12.0 | 72 | 0.5378 |
| 0.5367 | 13.0 | 78 | 0.5026 |
| 0.5118 | 14.0 | 84 | 0.5035 |
| 0.4987 | 15.0 | 90 | 0.4639 |
| 0.4704 | 16.0 | 96 | 0.4410 |
| 0.441 | 17.0 | 102 | 0.4364 |
| 0.4407 | 18.0 | 108 | 0.4112 |
| 0.4173 | 19.0 | 114 | 0.3852 |
| 0.4001 | 20.0 | 120 | 0.3590 |
| 0.3669 | 21.0 | 126 | 0.3375 |
| 0.3402 | 22.0 | 132 | 0.3207 |
| 0.3276 | 23.0 | 138 | 0.3187 |
| 0.3205 | 24.0 | 144 | 0.2961 |
| 0.2985 | 25.0 | 150 | 0.2673 |
| 0.2897 | 26.0 | 156 | 0.2524 |
| 0.2611 | 27.0 | 162 | 0.2408 |
| 0.2597 | 28.0 | 168 | 0.2408 |
| 0.2523 | 29.0 | 174 | 0.2277 |
| 0.2385 | 30.0 | 180 | 0.2111 |
| 0.2269 | 31.0 | 186 | 0.2068 |
| 0.2272 | 32.0 | 192 | 0.2047 |
| 0.2174 | 33.0 | 198 | 0.1927 |
| 0.2097 | 34.0 | 204 | 0.1848 |
| 0.1966 | 35.0 | 210 | 0.1817 |
| 0.1894 | 36.0 | 216 | 0.1768 |
| 0.1939 | 37.0 | 222 | 0.1760 |
| 0.1884 | 38.0 | 228 | 0.1701 |
| 0.1863 | 39.0 | 234 | 0.1683 |
| 0.1824 | 40.0 | 240 | 0.1675 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2