plbart-base-finetuned-src_fm_fc-to-target

This model is a fine-tuned version of uclanlp/plbart-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1974

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8454	1.0	113	0.2344
0.2422	2.0	226	0.2051
0.2101	3.0	339	0.1974

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2