plbart-finetuned-nora

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

• Loss: 0.6900
• Bleu: 0.0000

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: 1
• eval_batch_size: 1
• 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
1.1919	1.0	918	0.7175	0.0000
0.5715	2.0	1836	0.6900	0.0000

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2