llama-2-7b-chat-hf-ft-compact
This model was trained from scratch on an unknown 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 4.1287 | 0.36 | 25 | 2.8154 |
| 1.5 | 0.73 | 50 | 1.3773 |
| 1.1092 | 1.09 | 75 | 0.9817 |
| 0.9247 | 1.45 | 100 | 0.9045 |
| 0.8907 | 1.82 | 125 | 0.8791 |
| 0.8572 | 2.18 | 150 | 0.8663 |
| 0.8359 | 2.55 | 175 | 0.8608 |
| 0.8156 | 2.91 | 200 | 0.8585 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
