MT5-Fine-tuning-Vi-News-Summarization
This model is a fine-tuned version of google/mt5-small on vietgpt/news_summarization_vi. It achieves the following results on the evaluation set:
- Loss: 0.8435
- Rouge1: 71.033
- Rouge2: 46.9902
- Rougel: 49.8521
- Rougelsum: 64.0283
- Gen Len: 231.535
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: 0.0002
- train_batch_size: 6
- 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
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/mt5-small