tst-summarization

This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 1.6972
• Rouge1: 44.9509
• Rouge2: 21.7162
• Rougel: 37.7582
• Rougelsum: 41.7239
• Gen Len: 22.7714

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 4.25.1
• Pytorch 1.13.1+cpu
• Datasets 2.8.0
• Tokenizers 0.13.2