opt-350m_adalora_lr5e-06_bs4_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:
- Loss: 4.7517
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 5.0754 | 1.0 | 157 | 4.8764 |
| 5.0567 | 2.0 | 314 | 4.8515 |
| 5.0121 | 3.0 | 471 | 4.8098 |
| 4.969 | 4.0 | 628 | 4.7666 |
| 4.9577 | 5.0 | 785 | 4.7517 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for jysssacc/opt-350m_adalora_lr5e-06_bs4_epoch5_wd0.01
Base model
facebook/opt-350m