tst-summarization
This model is a fine-tuned version of google/mt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 30.3505
- Rouge1: 2.7855
- Rouge2: 0.0203
- Rougel: 2.2791
- Rougelsum: 2.2817
- Gen Len: 119.3571
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 4.32.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Base model
google/mt5-large