| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cnn_dailymail |
| metrics: |
| - rouge |
| model-index: |
| - name: Text_Summarization |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: cnn_dailymail |
| type: cnn_dailymail |
| config: 3.0.0 |
| split: test |
| args: 3.0.0 |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 0.2468 |
| --- |
| |
| <!-- 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. --> |
|
|
| # Text_Summarization |
| |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7064 |
| - Rouge1: 0.2468 |
| - Rouge2: 0.1174 |
| - Rougel: 0.204 |
| - Rougelsum: 0.204 |
| - Gen Len: 18.9998 |
|
|
| ## 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: 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: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 1.8588 | 1.0 | 35890 | 1.7064 | 0.2468 | 0.1174 | 0.204 | 0.204 | 18.9998 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.34.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
