phi-3-mini-LoRA
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0188
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.5096 | 4.65 | 100 | 1.0899 |
0.9849 | 9.3 | 200 | 1.0188 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
- Downloads last month
- 0
Model tree for lennonssss/phi-3-mini-LoRA
Base model
microsoft/Phi-3-mini-4k-instruct
Adapter
this model