llama_adcopy
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: 0.7252
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: 0.0005
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4593 | 1.0 | 129 | 1.4557 |
| 0.8955 | 2.0 | 258 | 0.9126 |
| 0.7377 | 3.0 | 387 | 0.8149 |
| 0.621 | 4.0 | 516 | 0.7785 |
| 0.6625 | 5.0 | 645 | 0.7506 |
| 0.6461 | 6.0 | 774 | 0.7382 |
| 0.584 | 7.0 | 903 | 0.7316 |
| 0.5011 | 8.0 | 1032 | 0.7265 |
| 0.6687 | 9.0 | 1161 | 0.7254 |
| 0.6337 | 10.0 | 1290 | 0.7252 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
meta-llama/Llama-2-7b-hf