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: 2.0404
- Rouge1: 33.5809
- Rouge2: 16.338
- Rougel: 27.0894
- Rougelsum: 31.8225
- Gen Len: 57.48
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: 4
- eval_batch_size: 4
- 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 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for pippinnie/finetuned-t5-cnn_dailymail
Base model
google-t5/t5-small