summarization_fanpage
This model is a fine-tuned version of gsarti/it5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4897
- Rouge1: 33.5599
- Rouge2: 15.7432
- Rougel: 25.5253
- Rougelsum: 28.1784
- Gen Len: 57.2958
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
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