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: 0.5972
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7046 | 1.0 | 6 | 3.1566 |
| 2.7296 | 2.0 | 12 | 2.2354 |
| 1.97 | 3.0 | 18 | 1.7402 |
| 1.6522 | 4.0 | 24 | 1.6050 |
| 1.5915 | 5.0 | 30 | 1.5117 |
| 1.497 | 6.0 | 36 | 1.4859 |
| 1.4994 | 7.0 | 42 | 1.4515 |
| 1.4372 | 8.0 | 48 | 1.4207 |
| 1.4099 | 9.0 | 54 | 1.3809 |
| 1.37 | 10.0 | 60 | 1.3981 |
| 1.3361 | 11.0 | 66 | 1.2905 |
| 1.2942 | 12.0 | 72 | 1.2986 |
| 1.2437 | 13.0 | 78 | 1.2145 |
| 1.18 | 14.0 | 84 | 1.1069 |
| 1.0947 | 15.0 | 90 | 1.0619 |
| 1.0435 | 16.0 | 96 | 0.9873 |
| 0.9961 | 17.0 | 102 | 0.9470 |
| 0.9408 | 18.0 | 108 | 0.9126 |
| 0.9119 | 19.0 | 114 | 0.9238 |
| 0.9158 | 20.0 | 120 | 0.8937 |
| 0.8981 | 21.0 | 126 | 0.8486 |
| 0.862 | 22.0 | 132 | 0.8756 |
| 0.8577 | 23.0 | 138 | 0.8344 |
| 0.8243 | 24.0 | 144 | 0.8168 |
| 0.8018 | 25.0 | 150 | 0.7711 |
| 0.7861 | 26.0 | 156 | 0.7986 |
| 0.7838 | 27.0 | 162 | 0.7765 |
| 0.7753 | 28.0 | 168 | 0.7504 |
| 0.7602 | 29.0 | 174 | 0.7205 |
| 0.7215 | 30.0 | 180 | 0.7216 |
| 0.7148 | 31.0 | 186 | 0.6973 |
| 0.7082 | 32.0 | 192 | 0.6753 |
| 0.7017 | 33.0 | 198 | 0.6480 |
| 0.6784 | 34.0 | 204 | 0.6394 |
| 0.6702 | 35.0 | 210 | 0.6333 |
| 0.6663 | 36.0 | 216 | 0.6221 |
| 0.6415 | 37.0 | 222 | 0.6133 |
| 0.6377 | 38.0 | 228 | 0.6065 |
| 0.6291 | 39.0 | 234 | 0.6049 |
| 0.6288 | 40.0 | 240 | 0.5972 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2