bart-model2-1209

This model is a fine-tuned version of theojolliffe/bart-paraphrase-v4-e1-feedback on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1658
• Rouge1: 55.8035
• Rouge2: 46.8603
• Rougel: 54.6759
• Rougelsum: 55.2072
• Gen Len: 19.6748

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.9329	1.0	650	0.1658	55.8035	46.8603	54.6759	55.2072	19.6748

Framework versions

• Transformers 4.12.3
• Pytorch 1.9.0
• Datasets 1.18.0
• Tokenizers 0.10.3