nllb-ecolindo

This model was trained from scratch on the EColIndo dataset. It achieves the following results on the evaluation set:

• Loss: 0.8704
• Bleu: 37.2396

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 4000
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.3017	1.0	21019	0.9831	35.0676
1.0088	2.0	42038	0.9318	36.3191
0.9472	3.0	63057	0.9090	36.5221
0.9078	4.0	84076	0.8919	36.3949
0.8789	5.0	105095	0.8833	37.3689
0.8576	6.0	126114	0.8785	37.2262
0.8403	7.0	147133	0.8748	37.2933
0.8281	8.0	168152	0.8717	37.2952
0.8186	9.0	189171	0.8709	37.2801
0.813	10.0	210190	0.8704	37.2396

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0
• Datasets 2.10.1
• Tokenizers 0.11.0