waiman721/fine_tuned_bart-large-cnn_multi_news

results

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

• eval_loss: 3.5112
• eval_rouge1: 36.7687
• eval_rouge2: 12.7988
• eval_rougeL: 23.4116
• eval_rougeLsum: 29.7494
• eval_gen_len: 65.0396
• eval_runtime: 1370.2695
• eval_samples_per_second: 1.641
• eval_steps_per_second: 0.411
• epoch: 0.09
• step: 999

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
• lr_scheduler_warmup_steps: 500
• num_epochs: 1
• label_smoothing_factor: 0.1

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2