CodePhi-3-mini-128k-instruct-St
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2034
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7966 | 0.1 | 10 | 1.2198 |
| 0.6434 | 0.2 | 20 | 1.2172 |
| 0.8085 | 0.3 | 30 | 1.2146 |
| 0.651 | 0.4 | 40 | 1.2114 |
| 0.6823 | 0.5 | 50 | 1.2088 |
| 0.807 | 0.6 | 60 | 1.2063 |
| 0.6826 | 0.7 | 70 | 1.2044 |
| 0.5928 | 0.8 | 80 | 1.2037 |
| 0.8374 | 0.9 | 90 | 1.2030 |
| 0.6112 | 1.0 | 100 | 1.2034 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Base model
microsoft/Phi-3-mini-128k-instruct