2024-09-12_16:02
This model is a fine-tuned version of ./models//microsoft/Phi-3-mini-4k-instruct on the coding dataset. It achieves the following results on the evaluation set:
- Loss: 1.5729
- Accuracy: 0.5958
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5967 | 0.0356 | 4 | 1.5761 | 0.5944 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for selimsheker/mfdoom_coding_Phi-3-mini-4k-instruct_adapter-2
Base model
microsoft/Phi-3-mini-4k-instruct