bart-large-cnn-10k-lit-evalMA-NOpad

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:

• Loss: 1.9464
• Rouge1: 28.6721
• Rouge2: 13.8303
• Rougel: 22.458
• Rougelsum: 25.668
• Gen Len: 66.893

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.535	1.0	10000	1.7501	28.519	13.967	22.4854	25.4511	66.555
0.8754	2.0	20000	1.9464	28.6721	13.8303	22.458	25.668	66.893

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.2
• Datasets 1.18.3
• Tokenizers 0.11.0