Rooshan-mbart-large50-4_finetuned_it_en-it_es

This model is a fine-tuned version of Rooshan/Rooshan-mbart-large50-3_finetuned_it_en-it_es on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3441
• Bleu: 70.1585
• Gen Len: 27.7859

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.3618	1.0	13632	0.3441	70.1585	27.7859

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2