phi-2-classifier
This model is a fine-tuned version of bigcode/starencoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4538
- Accuracy: 0.875
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: 32
- eval_batch_size: 2
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3098 | 1.0 | 1485 | 0.3670 | 0.89 |
| 0.4251 | 2.0 | 2970 | 0.3698 | 0.88 |
| 0.226 | 3.0 | 4455 | 0.4538 | 0.875 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.3
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