step2
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.7697
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8229 | 0.3125 | 20 | 1.8340 |
| 1.7876 | 0.625 | 40 | 1.8089 |
| 1.7582 | 0.9375 | 60 | 1.7908 |
| 1.7468 | 1.25 | 80 | 1.7791 |
| 1.769 | 1.5625 | 100 | 1.7726 |
| 1.7749 | 1.875 | 120 | 1.7697 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ernestoBocini/Phi3-science-tuned-step-2
Base model
microsoft/Phi-3-mini-4k-instruct