| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: classification1 |
| | 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. --> |
| |
|
| | # classification1 |
| |
|
| | 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: 0.4874 |
| | - Rouge1: 56.4976 |
| | - Rouge2: 45.9447 |
| | - Rougel: 55.0125 |
| | - Rougelsum: 54.9996 |
| | - Gen Len: 20.0 |
| |
|
| | ## 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 | 341 | 0.5881 | 55.4823 | 44.838 | 53.9203 | 53.9211 | 20.0 | |
| | | 0.8666 | 2.0 | 682 | 0.5256 | 56.1247 | 45.1956 | 54.5158 | 54.4802 | 20.0 | |
| | | 0.6031 | 3.0 | 1023 | 0.5002 | 55.0454 | 44.4031 | 53.5464 | 53.5119 | 20.0 | |
| | | 0.6031 | 4.0 | 1364 | 0.4916 | 55.8217 | 45.0941 | 54.3072 | 54.3437 | 20.0 | |
| | | 0.5294 | 5.0 | 1705 | 0.4874 | 56.4976 | 45.9447 | 55.0125 | 54.9996 | 20.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.21.0 |
| |
|
