llama-2-7b-hf-ft-compact
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8401
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 |
|---|---|---|---|
| 3.9985 | 0.36 | 25 | 2.9796 |
| 1.2719 | 0.73 | 50 | 1.1674 |
| 1.025 | 1.09 | 75 | 0.9475 |
| 0.8963 | 1.45 | 100 | 0.8777 |
| 0.8663 | 1.82 | 125 | 0.8582 |
| 0.8393 | 2.18 | 150 | 0.8469 |
| 0.8188 | 2.55 | 175 | 0.8415 |
| 0.8015 | 2.91 | 200 | 0.8401 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0