mbart-EN-ADV-ELE

This model is a fine-tuned version of facebook/mbart-large-50 on JoseLuis95/adv-ele. It achieves the following results on the evaluation set:

• Loss: 0.3152
• Bleu: 88.5796
• Gen Len: 28.9055

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: 5.6e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	217	0.3728	78.6166	28.4931
No log	2.0	434	0.2928	86.434	28.6659
0.4772	3.0	651	0.3152	88.5796	28.9055

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2