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