distilbart-cnn-12-6-finetuned-scitldr

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the scitldr dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.7113
• eval_rouge1: 31.4431
• eval_rouge2: 13.1766
• eval_rougeL: 24.2038
• eval_rougeLsum: 26.3167
• eval_runtime: 151.7265
• eval_samples_per_second: 4.08
• eval_steps_per_second: 0.514
• epoch: 4.0
• step: 996

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1