| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: training_checkpoints |
| 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. --> |
|
|
| # training_checkpoints |
| |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.3638 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 3.818 | 1.0 | 6278 | 3.5073 | |
| | 3.5666 | 2.0 | 12556 | 3.4281 | |
| | 3.6054 | 3.0 | 18834 | 3.3929 | |
| | 3.5081 | 4.0 | 25112 | 3.3720 | |
| | 3.5558 | 5.0 | 31390 | 3.3638 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.51.1 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.0 |
