paraphraser-bart-large-finetuned-chatgptphrases

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

• Loss: 1.0972
• Rouge1: 9.1735
• Rouge2: 5.1237
• Rougel: 7.5344
• Rougelsum: 7.5475
• Gen Len: 19.3333

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	38	1.0972	9.1735	5.1237	7.5344	7.5475	19.3333

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3