model-2-bart-reverse-raw

This model is a fine-tuned version of eugenesiow/bart-paraphrase on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1556
• Rouge1: 63.5215
• Rouge2: 58.8297
• Rougel: 60.5701
• Rougelsum: 63.2683
• Gen Len: 19.4672

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: 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
0.1276	1.0	12767	0.1556	63.5215	58.8297	60.5701	63.2683	19.4672

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1