| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: t5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: t5-base-squad-qag-b |
| 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. --> |
|
|
| # t5-base-squad-qag-b |
|
|
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 16.4900 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - 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 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 15.4767 | 0.5714 | 1 | 19.7375 | |
| | 22.2253 | 1.5714 | 2 | 19.0585 | |
| | 21.1788 | 2.5714 | 3 | 18.5133 | |
| | 21.3016 | 3.5714 | 4 | 18.0134 | |
| | 20.3052 | 4.5714 | 5 | 17.5808 | |
| | 19.7086 | 5.5714 | 6 | 17.2109 | |
| | 19.4675 | 6.5714 | 7 | 16.9223 | |
| | 19.3453 | 7.5714 | 8 | 16.7059 | |
| | 18.5491 | 8.5714 | 9 | 16.5610 | |
| | 18.5816 | 9.5714 | 10 | 16.4900 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.0 |
| - Tokenizers 0.21.0 |
| |
