opt-350m_fine_lr5e-06_bs10_epoch5_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:
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-06
- train_batch_size: 10
- eval_batch_size: 10
- 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: 5
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| No log |
1.0 |
63 |
3.6606 |
| 3.8763 |
2.0 |
126 |
3.4817 |
| 3.8763 |
3.0 |
189 |
3.4082 |
| 3.4292 |
4.0 |
252 |
3.3928 |
| 3.0741 |
5.0 |
315 |
3.3837 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
