bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily

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

• Loss: 2.5035
• Rouge1: 39.9928
• Rouge2: 17.5649
• Rougel: 26.9635
• Rougelsum: 36.7394
• Gen Len: 72.8086

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.661	1.0	17945	2.5035	39.9928	17.5649	26.9635	36.7394	72.8086

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2