results
This model is a fine-tuned version of decapoda-research/llama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8145
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8484 | 0.71 | 500 | 2.8145 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3