| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: testflant5 |
| 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. --> |
|
|
| # testflant5 |
|
|
| 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: 1.3889 |
| - Bertscore F1: 89.8552 |
|
|
| ## 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: 8 |
| - seed: 42 |
| - 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bertscore F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------------:| |
| | No log | 1.0 | 2 | 1.7088 | 88.56 | |
| | No log | 2.0 | 4 | 1.6045 | 89.2892 | |
| | No log | 3.0 | 6 | 1.4956 | 89.1683 | |
| | No log | 4.0 | 8 | 1.4173 | 88.9652 | |
| | No log | 5.0 | 10 | 1.3889 | 89.8552 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.49.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.1 |
| - Tokenizers 0.21.0 |
|
|
