opt-125m-lora-finetuned-mnli
This model is a fine-tuned version of facebook/opt-125m on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.1926
- Accuracy: 0.3313
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-05
- 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 |
|---|---|---|---|---|
| 1.1562 | 1.0 | 1 | 1.1948 | 0.3302 |
| 1.1512 | 2.0 | 2 | 1.1938 | 0.3309 |
| 1.131 | 3.0 | 3 | 1.1931 | 0.3311 |
| 1.15 | 4.0 | 4 | 1.1928 | 0.3312 |
| 1.0987 | 5.0 | 5 | 1.1926 | 0.3313 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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