| --- |
| library_name: transformers |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: llama_1b_step2_batch_grad_v5 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # llama_1b_step2_batch_grad_v5 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3613 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 40 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 128 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.5104 | 0.5453 | 50 | 0.5257 | |
| | 0.2576 | 1.0941 | 100 | 0.3929 | |
| | 0.2514 | 1.6394 | 150 | 0.3613 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.46.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 3.0.2 |
| - Tokenizers 0.20.1 |
|
|
