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: 0.7602
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 1.6045 | 1.0 | 3 | 1.5511 |
| 1.3068 | 2.0 | 6 | 1.6045 |
| 1.4803 | 3.0 | 9 | 1.3825 |
| 1.3351 | 4.0 | 12 | 1.3222 |
| 1.259 | 5.0 | 15 | 1.4317 |
| 1.237 | 6.0 | 18 | 1.3714 |
| 1.2416 | 7.0 | 21 | 1.3284 |
| 1.1719 | 8.0 | 24 | 1.2900 |
| 1.1413 | 9.0 | 27 | 1.2300 |
| 1.0976 | 10.0 | 30 | 1.2427 |
| 1.1137 | 11.0 | 33 | 1.1367 |
| 1.0512 | 12.0 | 36 | 1.0890 |
| 1.0176 | 13.0 | 39 | 1.1537 |
| 1.0737 | 14.0 | 42 | 1.1180 |
| 0.9744 | 15.0 | 45 | 1.0935 |
| 0.9448 | 16.0 | 48 | 0.9942 |
| 0.9564 | 17.0 | 51 | 1.0161 |
| 0.9895 | 18.0 | 54 | 0.9486 |
| 0.9088 | 19.0 | 57 | 0.9694 |
| 0.9169 | 20.0 | 60 | 0.9542 |
| 0.8814 | 21.0 | 63 | 0.9105 |
| 0.8952 | 22.0 | 66 | 0.9043 |
| 0.8635 | 23.0 | 69 | 0.8930 |
| 0.8357 | 24.0 | 72 | 0.9285 |
| 0.8266 | 25.0 | 75 | 0.8613 |
| 0.8271 | 26.0 | 78 | 0.9072 |
| 0.7921 | 27.0 | 81 | 0.8674 |
| 0.775 | 28.0 | 84 | 0.8476 |
| 0.7766 | 29.0 | 87 | 0.8600 |
| 0.7682 | 30.0 | 90 | 0.8438 |
| 0.7844 | 31.0 | 93 | 0.8022 |
| 0.7114 | 32.0 | 96 | 0.8131 |
| 0.7391 | 33.0 | 99 | 0.7957 |
| 0.7347 | 34.0 | 102 | 0.7810 |
| 0.7104 | 35.0 | 105 | 0.7740 |
| 0.7248 | 36.0 | 108 | 0.7665 |
| 0.7359 | 37.0 | 111 | 0.7819 |
| 0.7358 | 38.0 | 114 | 0.7668 |
| 0.7235 | 39.0 | 117 | 0.7601 |
| 0.7203 | 40.0 | 120 | 0.7602 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2