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t5-base-finetuned-summarize-news-tuto-noticias
This model is a fine-tuned version of mrm8488/t5-base-finetuned-summarize-news on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1414
- Rouge1: 0.3108
- Rouge2: 0.2066
- Rougel: 0.3003
- Rougelsum: 0.3004
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: 5.6e-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 |
|---|---|---|---|---|---|---|---|
| 1.3374 | 1.0 | 6034 | 1.1414 | 0.3108 | 0.2066 | 0.3003 | 0.3004 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
