bart-large-cnn-transcript-summarizer

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3148
• Rouge1: 40.9221
• Rouge2: 20.8127
• Rougel: 31.264
• Rougelsum: 37.9164
• Gen Len: 60.044

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3091	1.0	3683	0.3163	40.7512	20.5582	31.1674	38.0718	60.0978
0.2138	2.0	7366	0.3148	40.9221	20.8127	31.264	37.9164	60.044

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 3.6.0
• Tokenizers 0.15.2