opt-350m_fine_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.4402
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6861 | 1.0 | 157 | 3.5351 |
| 2.8315 | 2.0 | 314 | 3.7727 |
| 1.9912 | 3.0 | 471 | 4.1666 |
| 1.4737 | 4.0 | 628 | 4.4532 |
| 1.1977 | 5.0 | 785 | 4.9565 |
| 0.8678 | 6.0 | 942 | 4.9429 |
| 0.8014 | 7.0 | 1099 | 5.3148 |
| 0.685 | 8.0 | 1256 | 5.4586 |
| 0.6793 | 9.0 | 1413 | 5.3924 |
| 0.6246 | 10.0 | 1570 | 5.6821 |
| 0.5972 | 11.0 | 1727 | 5.8316 |
| 0.5604 | 12.0 | 1884 | 5.8977 |
| 0.5404 | 13.0 | 2041 | 6.0070 |
| 0.5375 | 14.0 | 2198 | 5.9317 |
| 0.5035 | 15.0 | 2355 | 6.1104 |
| 0.5088 | 16.0 | 2512 | 6.2142 |
| 0.4827 | 17.0 | 2669 | 6.1858 |
| 0.4744 | 18.0 | 2826 | 6.3306 |
| 0.4641 | 19.0 | 2983 | 6.3937 |
| 0.4531 | 20.0 | 3140 | 6.4402 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
facebook/opt-350m