my_bart_model

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: 1.8325
• Rouge1: 0.3004
• Rouge2: 0.1539
• Rougel: 0.244
• Rougelsum: 0.2441
• Gen Len: 59.9356

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: 4
• eval_batch_size: 4
• 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
1.6223	1.0	27000	1.8325	0.3004	0.1539	0.244	0.2441	59.9356

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.13.3