nllb-200-distilled-600M-OpenSLR-GL-EN

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on juanjucm/OpenSLR-SpeechT-GL-EN dataset. It achieves the following results on the evaluation set:

• Loss: 0.0122
• Bleu: 73.6259

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
14.2627	1.0	600	3.7799	61.8432
6.0125	2.0	1200	0.5403	66.7094
1.1534	3.0	1800	0.0243	69.1604
0.0748	4.0	2400	0.0147	70.7523
0.0125	5.0	3000	0.0131	73.1040
0.0095	6.0	3600	0.0126	73.2385
0.0081	7.0	4200	0.0122	73.8670
0.0072	8.0	4800	0.0122	73.6259

Framework versions

• Transformers 4.47.1
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0