| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: model |
| 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. --> |
|
|
| # model |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0530 |
| - Rouge1: 78.2421 |
| - Rouge2: 75.2403 |
| - Rougel: 78.1859 |
| - Rougelsum: 78.1938 |
| - Gen Len: 19.0 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | 0.0717 | 0.25 | 1000 | 0.0637 | 78.0577 | 74.8304 | 78.018 | 78.0236 | 19.0 | |
| | 0.0659 | 0.5 | 2000 | 0.0598 | 78.1871 | 75.0081 | 78.134 | 78.1354 | 19.0 | |
| | 0.0624 | 0.75 | 3000 | 0.0576 | 77.9279 | 74.7627 | 77.868 | 77.88 | 19.0 | |
| | 0.0597 | 1.01 | 4000 | 0.0563 | 78.1154 | 75.0171 | 78.0426 | 78.0522 | 19.0 | |
| | 0.0565 | 1.26 | 5000 | 0.0556 | 78.1454 | 75.0883 | 78.0991 | 78.1097 | 19.0 | |
| | 0.0528 | 1.51 | 6000 | 0.0549 | 78.3856 | 75.379 | 78.318 | 78.3263 | 19.0 | |
| | 0.0563 | 1.76 | 7000 | 0.0541 | 78.2664 | 75.1877 | 78.1834 | 78.1963 | 19.0 | |
| | 0.0535 | 2.01 | 8000 | 0.0540 | 78.1601 | 75.1107 | 78.0957 | 78.1042 | 19.0 | |
| | 0.0507 | 2.26 | 9000 | 0.0537 | 78.2119 | 75.137 | 78.1504 | 78.16 | 19.0 | |
| | 0.0513 | 2.51 | 10000 | 0.0533 | 78.1715 | 75.1571 | 78.1235 | 78.1272 | 19.0 | |
| | 0.052 | 2.76 | 11000 | 0.0530 | 78.2421 | 75.2403 | 78.1859 | 78.1938 | 19.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
