finetuned-t5-cnn_dailymail
This model is a fine-tuned version of google-t5/t5-small on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.1540
- Rouge1: 33.1828
- Rouge2: 13.6949
- Rougel: 24.676
- Rougelsum: 30.7087
- Gen Len: 58.74
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: 5e-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: 3.0
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for mute667/finetuned-t5-cnn_dailymail
Base model
google-t5/t5-small