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final_LLama_kpi_qlora
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1204
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.153 | 0.18 | 800 | 0.2036 |
| 0.1809 | 0.37 | 1600 | 0.1842 |
| 0.1 | 0.55 | 2400 | 0.1621 |
| 0.0813 | 0.73 | 3200 | 0.1497 |
| 0.0899 | 0.92 | 4000 | 0.1204 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.0
