| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: ivanenclonar/typhoon-t5-pretrained |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: typhoon-t5-finetuned2 |
| 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. --> |
|
|
| # typhoon-t5-finetuned2 |
|
|
| This model is a fine-tuned version of [ivanenclonar/typhoon-t5-pretrained](https://huggingface.co/ivanenclonar/typhoon-t5-pretrained) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4566 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - 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: 15 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 25 | 1.0733 | |
| | No log | 2.0 | 50 | 0.6809 | |
| | No log | 3.0 | 75 | 0.5968 | |
| | No log | 4.0 | 100 | 0.5535 | |
| | No log | 5.0 | 125 | 0.5249 | |
| | No log | 6.0 | 150 | 0.5048 | |
| | No log | 7.0 | 175 | 0.4909 | |
| | No log | 8.0 | 200 | 0.4807 | |
| | No log | 9.0 | 225 | 0.4731 | |
| | No log | 10.0 | 250 | 0.4673 | |
| | No log | 11.0 | 275 | 0.4631 | |
| | No log | 12.0 | 300 | 0.4602 | |
| | No log | 13.0 | 325 | 0.4581 | |
| | No log | 14.0 | 350 | 0.4570 | |
| | No log | 15.0 | 375 | 0.4566 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.0 |
| - Pytorch 2.8.0+cu129 |
| - Datasets 4.4.2 |
| - Tokenizers 0.22.0 |
| |
