llama-mixlora
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0766
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9748 | 1.0 | 647 | 0.9865 |
| 0.9212 | 2.0 | 1294 | 0.9762 |
| 0.9094 | 3.0 | 1941 | 0.9790 |
| 0.8838 | 4.0 | 2588 | 0.9947 |
| 0.815 | 5.0 | 3235 | 1.0066 |
| 0.8118 | 6.0 | 3882 | 1.0259 |
| 0.7635 | 7.0 | 4529 | 1.0519 |
| 0.7363 | 8.0 | 5176 | 1.0647 |
| 0.7229 | 9.0 | 5823 | 1.0735 |
| 0.7148 | 10.0 | 6470 | 1.0766 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for twanghcmut/llama-mixlora
Base model
meta-llama/Llama-2-7b-hf