metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization_fanpage128
results: []
summarization_fanpage128
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: 1.5492
- Rouge1: 33.8286
- Rouge2: 15.4551
- Rougel: 24.9001
- Rougelsum: 28.3133
- Gen Len: 69.7954
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: 3
- eval_batch_size: 3
- 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