| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: classification |
| | 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. --> |
| |
|
| | # classification |
| |
|
| | This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2399 |
| | - Rouge1: 86.2698 |
| | - Rouge2: 63.1746 |
| | - Rougel: 86.2698 |
| | - Rougelsum: 86.2698 |
| | - Gen Len: 2.7540 |
| |
|
| | ## 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 315 | 0.2980 | 84.2857 | 59.8413 | 84.2857 | 84.3651 | 2.7635 | |
| | | 0.405 | 2.0 | 630 | 0.2399 | 86.2698 | 63.1746 | 86.2698 | 86.2698 | 2.7540 | |
| | | 0.405 | 3.0 | 945 | 0.3172 | 85.7143 | 65.7143 | 85.7143 | 85.7143 | 2.8111 | |
| | | 0.1669 | 4.0 | 1260 | 0.3197 | 86.5079 | 64.6032 | 86.5079 | 86.5873 | 2.7762 | |
| | | 0.1291 | 5.0 | 1575 | 0.3394 | 85.3968 | 65.2381 | 85.3175 | 85.4762 | 2.8 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.21.0 |
| |
|
