summarization_fine_tuning

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

• Loss: 1.5474
• Rouge1: 53.215
• Rouge2: 28.4755
• Rougel: 43.9337
• Rougelsum: 48.5873
• Gen Len: 27.2592

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.3867	1.0	14732	1.6283	52.82	28.3657	43.6768	48.5632	27.1137
0.9705	2.0	29464	1.5474	53.215	28.4755	43.9337	48.5873	27.2592
0.5877	3.0	44196	1.7343	53.8648	28.8011	44.1837	49.2032	29.2225

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1