finetuning5
This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset.
It achieves the following results on the evaluation set:
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 2.688 |
1.0 |
1 |
2.8009 |
| 2.3288 |
2.0 |
2 |
2.4102 |
| 1.9797 |
3.0 |
3 |
2.1300 |
| 1.7025 |
4.0 |
4 |
1.8725 |
| 1.4467 |
5.0 |
5 |
1.6254 |
| 1.192 |
6.0 |
6 |
1.3799 |
| 0.9594 |
7.0 |
7 |
1.3070 |
| 0.8349 |
8.0 |
8 |
1.2658 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1
Training procedure
Framework versions
