avmgpt-ft
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8612
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.9077 | 0.92 | 3 | 3.3244 |
3.8362 | 1.85 | 6 | 3.2772 |
3.7771 | 2.77 | 9 | 3.2113 |
2.7759 | 4.0 | 13 | 3.1090 |
3.6167 | 4.92 | 16 | 3.0363 |
3.5208 | 5.85 | 19 | 2.9741 |
3.4616 | 6.77 | 22 | 2.9247 |
2.5348 | 8.0 | 26 | 2.8796 |
3.3474 | 8.92 | 29 | 2.8631 |
2.3174 | 9.23 | 30 | 2.8612 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 0
Model tree for AVMLegend/avmgpt-ft
Base model
microsoft/phi-2