BART-finetuned-on-training-knowledge

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

• Loss: 2.1989
• Bleu: 3.6495
• Gen Len: 19.6357

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.4258	1.0	1679	2.2498	3.042	19.3821
2.0762	2.0	3358	2.1989	3.6495	19.6357

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.13.0
• Tokenizers 0.14.1