metadata
tags:
- summarization
language:
- it
metrics:
- rouge
model-index:
- name: summarization_mlsum
results: []
summarization_mlsum
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: 2.0190
- Rouge1: 19.2854
- Rouge2: 6.0392
- Rougel: 16.4987
- Rougelsum: 16.616
- Gen Len: 32.7635
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