tst-summarization
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5129
- Rouge1: 69.4813
- Rouge2: 53.8739
- Rougel: 69.3727
- Rougelsum: 69.2986
- Gen Len: 19.4911
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
google-t5/t5-small