tst-summarization
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7792
- Rouge1: 14.4677
- Rouge2: 2.0979
- Rougel: 12.5724
- Rougelsum: 12.8844
- Gen Len: 54.5909
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 4.35.0.dev0
- Pytorch 2.1.0+cpu
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google-t5/t5-base