| --- |
| license: other |
| library_name: peft |
| tags: |
| - llama-factory |
| - lora |
| - generated_from_trainer |
| base_model: gotzmann/uni |
| model-index: |
| - name: exported |
| results: [] |
| --- |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 1.0 |
|
|
| ### Framework versions |
|
|
| - PEFT 0.9.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
|
|
