metadata
tags:
- generated_from_trainer
model-index:
- name: baseline
results: []
baseline
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7391
- Exact Match: 0.0
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|---|---|---|---|---|
| 2.0707 | 1.0 | 157 | 1.4872 | 0.003 |
| 1.0627 | 2.0 | 314 | 1.2868 | 0.007 |
| 0.8185 | 3.0 | 471 | 1.2750 | 0.0 |
| 0.6815 | 4.0 | 628 | 1.4788 | 0.0 |
| 0.6021 | 5.0 | 785 | 1.3314 | 0.003 |
| 0.5331 | 6.0 | 942 | 1.4174 | 0.0 |
| 0.481 | 7.0 | 1099 | 1.5780 | 0.0 |
| 0.442 | 8.0 | 1256 | 1.4797 | 0.0 |
| 0.4027 | 9.0 | 1413 | 1.5298 | 0.0 |
| 0.3629 | 10.0 | 1570 | 1.5906 | 0.0 |
| 0.3313 | 11.0 | 1727 | 1.6076 | 0.0 |
| 0.3031 | 12.0 | 1884 | 1.7169 | 0.0 |
| 0.269 | 13.0 | 2041 | 1.5874 | 0.0 |
| 0.2433 | 14.0 | 2198 | 1.7706 | 0.0 |
| 0.2079 | 15.0 | 2355 | 1.6666 | 0.0 |
| 0.1772 | 16.0 | 2512 | 1.6823 | 0.0 |
| 0.1549 | 17.0 | 2669 | 1.7645 | 0.0 |
| 0.1345 | 18.0 | 2826 | 1.7436 | 0.0 |
| 0.124 | 19.0 | 2983 | 1.7963 | 0.0 |
| 0.1166 | 20.0 | 3140 | 1.7391 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0