bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-xsum

This model is a fine-tuned version of mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization on the xsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.9401
• Rouge1: 24.9094
• Rouge2: 7.3754
• Rougel: 18.2282
• Rougelsum: 18.9508
• Gen Len: 61.4478

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
3.0991	1.0	12753	2.9401	24.9094	7.3754	18.2282	18.9508	61.4478

Framework versions

• Transformers 4.30.0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.13.3