mBART_translator_json_all_2

This model is a fine-tuned version of facebook/mbart-large-cc25 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1595
• Bleu: 76.137
• Gen Len: 11.966

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• 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	Bleu	Gen Len
1.914	1.0	2908	0.7158	26.1202	44.2761
0.948	2.0	5816	0.3113	74.3952	12.4625
0.5552	3.0	8724	0.1595	76.137	11.966

Framework versions

• Transformers 4.17.0
• Pytorch 1.12.0
• Datasets 1.18.3
• Tokenizers 0.11.0