| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: cv-qa-model |
| 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. --> |
|
|
| # cv-qa-model |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0194 |
|
|
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 4.4757 | 1.0 | 156 | 3.1304 | |
| | 2.8728 | 2.0 | 312 | 1.8267 | |
| | 1.9891 | 3.0 | 468 | 1.2753 | |
| | 1.6409 | 4.0 | 624 | 1.0741 | |
| | 1.5526 | 5.0 | 780 | 1.0194 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.1 |
| - Pytorch 2.8.0 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.0 |
| |
