| --- |
| license: apache-2.0 |
| base_model: google-t5/t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: summarization |
| 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. --> |
|
|
| # summarization |
|
|
| This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2491 |
| - Rouge1: 0.3279 |
| - Rouge2: 0.2271 |
| - Rougel: 0.3003 |
| - Rougelsum: 0.3005 |
| - Gen Len: 18.9811 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 3 |
| - eval_batch_size: 3 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 0.372 | 1.0 | 4189 | 0.2643 | 0.3326 | 0.2341 | 0.3055 | 0.3053 | 18.9784 | |
| | 0.3303 | 2.0 | 8378 | 0.2558 | 0.3379 | 0.2401 | 0.3112 | 0.3112 | 18.9808 | |
| | 0.3069 | 3.0 | 12567 | 0.2482 | 0.34 | 0.241 | 0.3129 | 0.313 | 18.9815 | |
| | 0.3057 | 4.0 | 16756 | 0.2491 | 0.3279 | 0.2271 | 0.3003 | 0.3005 | 18.9811 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.39.3 |
| - Pytorch 2.1.2 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
