my_bart_model

This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3832
• Rouge1: 0.7947
• Rouge2: 0.6832
• Rougel: 0.7731
• Rougelsum: 0.7732
• Gen Len: 15.8956

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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4469	1.0	2185	0.4639	0.7605	0.6319	0.7345	0.7346	15.8928
0.3132	2.0	4370	0.4013	0.7766	0.6564	0.7516	0.7516	15.9322
0.2214	3.0	6555	0.3802	0.7878	0.6734	0.7656	0.7657	15.986
0.1673	4.0	8740	0.3832	0.7947	0.6832	0.7731	0.7732	15.8956

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1