Llama-2-7b-hf-LoRA-test
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: 2.7222
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3653 | 1.0 | 1 | 2.7241 |
| 0.3653 | 2.0 | 2 | 2.7231 |
| 0.3652 | 3.0 | 3 | 2.7222 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for RikiyaT/Llama-2-7b-hf-LoRA-test
Base model
meta-llama/Llama-2-7b-hf