Vexemous/bart-based-finetuned-samsum

bart-base-finetuned-samsum

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

• Loss: 1.5273
• Rouge1: 46.8865
• Rouge2: 23.8976
• Rougel: 39.8604
• Rougelsum: 43.0185
• Gen Len: 18.0659

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0008	1.0	921	1.6050	45.4152	21.5898	38.2192	41.5283	18.3272
1.6741	2.0	1842	1.5611	45.6316	22.7331	38.6353	42.0206	17.9963
1.547	3.0	2763	1.5362	46.4511	23.218	39.1461	42.4645	17.9255
1.4668	4.0	3684	1.5338	46.8899	23.7554	39.7789	43.0769	18.3553
1.4218	5.0	4605	1.5273	46.8865	23.8976	39.8604	43.0185	18.0659

Framework versions

• Transformers 4.40.1
• Pytorch 1.13.1+cu117
• Datasets 2.19.0
• Tokenizers 0.19.1