CodeLlama-7B-Instruct-AWQ-FaVe-5epochs
This model is a fine-tuned version of TheBloke/CodeLlama-7B-Instruct-AWQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4233
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.2685 | 10 | 2.2274 |
2.1888 | 0.5369 | 20 | 1.3438 |
2.1888 | 0.8054 | 30 | 0.8727 |
0.928 | 1.0738 | 40 | 0.7028 |
0.928 | 1.3423 | 50 | 0.6379 |
0.6239 | 1.6107 | 60 | 0.5830 |
0.6239 | 1.8792 | 70 | 0.5512 |
0.5536 | 2.1477 | 80 | 0.5308 |
0.5536 | 2.4161 | 90 | 0.5120 |
0.4523 | 2.6846 | 100 | 0.4930 |
0.4523 | 2.9530 | 110 | 0.4669 |
0.3903 | 3.2215 | 120 | 0.4560 |
0.3903 | 3.4899 | 130 | 0.4537 |
0.3364 | 3.7584 | 140 | 0.4267 |
0.3364 | 4.0268 | 150 | 0.4168 |
0.3025 | 4.2953 | 160 | 0.4230 |
0.3025 | 4.5638 | 170 | 0.4296 |
0.264 | 4.8322 | 180 | 0.4233 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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