| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: flashcarder |
| | 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. --> |
| |
|
| | # flashcarder |
| |
|
| | 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: 0.1990 |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 16 |
| | - 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 |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.474 | 1.0 | 1004 | 0.2415 | |
| | | 0.2877 | 2.0 | 2008 | 0.2146 | |
| | | 0.2514 | 3.0 | 3012 | 0.2101 | |
| | | 0.2311 | 4.0 | 4016 | 0.2050 | |
| | | 0.2131 | 5.0 | 5020 | 0.2004 | |
| | | 0.2033 | 6.0 | 6024 | 0.2000 | |
| | | 0.1932 | 7.0 | 7028 | 0.1983 | |
| | | 0.1849 | 8.0 | 8032 | 0.1997 | |
| | | 0.1813 | 9.0 | 9036 | 0.1990 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.51.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.1 |
| | |
