pegasus_tweet_sum

This model is a fine-tuned version of transformersbook/pegasus-samsum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3260
• Rouge1: 27.0091
• Rouge2: 9.1616
• Rougel: 19.9548
• Rougelsum: 23.608
• Gen Len: 50.6667

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	44	2.2587	26.8137	8.4052	18.7378	22.5031	48.25
No log	2.0	88	2.3260	27.0091	9.1616	19.9548	23.608	50.6667

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu118
• Tokenizers 0.13.3