ft-facebook-bart-large-xsum-on-samsum

This model is a fine-tuned version of facebook/bart-large-xsum on the Samsum dataset.

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.22	100	1.5051	49.5382	24.4845	40.7456	45.3284	26.1722

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2
• Datasets 2.17.0
• Tokenizers 0.15.1