| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - xsum |
| metrics: |
| - rouge |
| model-index: |
| - name: textGeneration_06 |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: xsum |
| type: xsum |
| config: default |
| split: validation |
| args: default |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 12.1154 |
| --- |
| |
| <!-- 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. --> |
|
|
| # textGeneration_06 |
| |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.7405 |
| - Rouge1: 12.1154 |
| - Rouge2: 1.7291 |
| - Rougel: 9.4055 |
| - Rougelsum: 11.035 |
| - Gen Len: 937.368 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:| |
| | 4.2168 | 1.0 | 1250 | 3.8405 | 12.1695 | 1.7457 | 9.3821 | 11.0907 | 896.12 | |
| | 4.1005 | 2.0 | 2500 | 3.7840 | 11.933 | 1.7034 | 9.3269 | 10.8944 | 938.399 | |
| | 4.0678 | 3.0 | 3750 | 3.7579 | 12.0066 | 1.7388 | 9.3301 | 10.9558 | 936.662 | |
| | 4.0411 | 4.0 | 5000 | 3.7445 | 12.0542 | 1.7188 | 9.4032 | 11.0116 | 932.645 | |
| | 4.0359 | 5.0 | 6250 | 3.7405 | 12.1154 | 1.7291 | 9.4055 | 11.035 | 937.368 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
| |
