phi2derma
This model is a fine-tuned version of microsoft/phi-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7440
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8753 | 0.6061 | 200 | 0.9023 |
| 1.7196 | 1.2121 | 400 | 0.8306 |
| 1.6462 | 1.8182 | 600 | 0.8004 |
| 1.5884 | 2.4242 | 800 | 0.7781 |
| 1.5744 | 3.0303 | 1000 | 0.7645 |
| 1.5188 | 3.6364 | 1200 | 0.7548 |
| 1.442 | 4.2424 | 1400 | 0.7489 |
| 1.4986 | 4.8485 | 1600 | 0.7440 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Base model
microsoft/phi-2