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: 0.0408
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1232 | 1.0 | 5 | 2.3752 |
| 2.1776 | 2.0 | 10 | 1.8879 |
| 1.7349 | 3.0 | 15 | 1.4779 |
| 1.3722 | 4.0 | 20 | 1.2288 |
| 1.1464 | 5.0 | 25 | 1.0354 |
| 0.995 | 6.0 | 30 | 0.9079 |
| 0.8838 | 7.0 | 35 | 0.8040 |
| 0.7827 | 8.0 | 40 | 0.7075 |
| 0.7079 | 9.0 | 45 | 0.6453 |
| 0.6523 | 10.0 | 50 | 0.5931 |
| 0.6042 | 11.0 | 55 | 0.5485 |
| 0.5548 | 12.0 | 60 | 0.5170 |
| 0.5339 | 13.0 | 65 | 0.5695 |
| 0.5492 | 14.0 | 70 | 0.4823 |
| 0.4951 | 15.0 | 75 | 0.4626 |
| 0.464 | 16.0 | 80 | 0.4308 |
| 0.4377 | 17.0 | 85 | 0.3924 |
| 0.4059 | 18.0 | 90 | 0.3690 |
| 0.3782 | 19.0 | 95 | 0.3322 |
| 0.3458 | 20.0 | 100 | 0.3135 |
| 0.3307 | 21.0 | 105 | 0.2936 |
| 0.2999 | 22.0 | 110 | 0.2577 |
| 0.2739 | 23.0 | 115 | 0.2444 |
| 0.2461 | 24.0 | 120 | 0.2236 |
| 0.2264 | 25.0 | 125 | 0.1957 |
| 0.2046 | 26.0 | 130 | 0.1637 |
| 0.1819 | 27.0 | 135 | 0.1415 |
| 0.16 | 28.0 | 140 | 0.1238 |
| 0.1454 | 29.0 | 145 | 0.1092 |
| 0.1297 | 30.0 | 150 | 0.0997 |
| 0.1188 | 31.0 | 155 | 0.0876 |
| 0.1105 | 32.0 | 160 | 0.0897 |
| 0.1033 | 33.0 | 165 | 0.0779 |
| 0.0941 | 34.0 | 170 | 0.0702 |
| 0.0897 | 35.0 | 175 | 0.0656 |
| 0.085 | 36.0 | 180 | 0.0634 |
| 0.0796 | 37.0 | 185 | 0.0596 |
| 0.0768 | 38.0 | 190 | 0.0560 |
| 0.0728 | 39.0 | 195 | 0.0556 |
| 0.0702 | 40.0 | 200 | 0.0516 |
| 0.0662 | 41.0 | 205 | 0.0493 |
| 0.063 | 42.0 | 210 | 0.0472 |
| 0.0613 | 43.0 | 215 | 0.0459 |
| 0.0617 | 44.0 | 220 | 0.0449 |
| 0.0579 | 45.0 | 225 | 0.0425 |
| 0.0556 | 46.0 | 230 | 0.0428 |
| 0.0555 | 47.0 | 235 | 0.0413 |
| 0.0536 | 48.0 | 240 | 0.0409 |
| 0.053 | 49.0 | 245 | 0.0409 |
| 0.0532 | 50.0 | 250 | 0.0408 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2