pegasus-tweet-sumL

This model is a fine-tuned version of transformersbook/pegasus-samsum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6848
• Rouge1: 44.8046
• Rouge2: 23.4242
• Rougel: 36.5586
• Rougelsum: 41.3014
• Gen Len: 65.0861

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2021	1.0	750	1.6848	44.8046	23.4242	36.5586	41.3014	65.0861

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3