bart-base-finetuned-samsum-test

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

• Loss: 1.8137
• Rouge1: 44.2495
• Rouge2: 21.0063
• Rougel: 37.5103
• Rougelsum: 40.8031
• Gen Len: 17.2063

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9795	1.0	7366	1.8137	44.2495	21.0063	37.5103	40.8031	17.2063

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3