pegasus-x-booksum-chapter

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pegasus-x-booksum-chapter

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

• Loss: 2.5993

{'rouge1': 0.23378525407555606,
'rouge2': 0.0362962105694859,
'rougeL': 0.13587636708639556,
'rougeLsum': 0.13593997471043634}

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• num_epochs: 8

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3