opt-350m-pattern-based_finetuning_with_lora-mnli-d1_fs2
This model is a fine-tuned version of facebook/opt-350m on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.9473
- Accuracy: 0.5081
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: 2e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4448 | 1.0 | 1 | 0.9473 | 0.5081 |
| 0.5856 | 2.0 | 2 | 0.9471 | 0.5081 |
| 0.5093 | 3.0 | 3 | 0.9470 | 0.5078 |
| 0.5734 | 4.0 | 4 | 0.9470 | 0.5078 |
| 0.6733 | 5.0 | 5 | 0.9470 | 0.5078 |
Framework versions
- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
facebook/opt-350m