opt-350m_IA3_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: 3.6235
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 |
|---|---|---|---|
| 4.0247 | 1.0 | 157 | 3.8361 |
| 4.0183 | 2.0 | 314 | 3.8183 |
| 4.0005 | 3.0 | 471 | 3.7924 |
| 3.9764 | 4.0 | 628 | 3.7634 |
| 3.8952 | 5.0 | 785 | 3.7394 |
| 3.9008 | 6.0 | 942 | 3.7191 |
| 3.9332 | 7.0 | 1099 | 3.7025 |
| 3.8841 | 8.0 | 1256 | 3.6877 |
| 3.8515 | 9.0 | 1413 | 3.6754 |
| 3.8297 | 10.0 | 1570 | 3.6650 |
| 3.785 | 11.0 | 1727 | 3.6560 |
| 3.832 | 12.0 | 1884 | 3.6485 |
| 3.7683 | 13.0 | 2041 | 3.6422 |
| 3.8607 | 14.0 | 2198 | 3.6369 |
| 3.7712 | 15.0 | 2355 | 3.6327 |
| 3.7966 | 16.0 | 2512 | 3.6293 |
| 3.7841 | 17.0 | 2669 | 3.6266 |
| 3.8344 | 18.0 | 2826 | 3.6248 |
| 3.7461 | 19.0 | 2983 | 3.6238 |
| 3.8097 | 20.0 | 3140 | 3.6235 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
Model tree for alitolga/opt-350m_IA3_lr5e-05_bs4_epoch20_wd0.01
Base model
facebook/opt-350m