nllb-200-distilled-600M-finetuned_augmented_MTbak_cleaned_ar-to-en

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9003
• Bleu: 54.3021
• Gen Len: 39.3817

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.1718	1.0	2071	1.0140	46.727	39.6324
1.0097	2.0	4142	0.9450	50.6721	39.8258
0.8944	3.0	6213	0.9171	51.0894	39.9446
0.8192	4.0	8284	0.9010	52.8059	39.3494
0.7689	5.0	10355	0.8980	53.1204	39.5579
0.7511	6.0	12426	0.8946	53.5769	39.4814
0.685	7.0	14497	0.8968	53.8032	39.6365
0.6849	8.0	16568	0.8987	54.3402	39.5227
0.6548	9.0	18639	0.8992	54.4944	39.5619
0.6429	10.0	20710	0.9003	54.3021	39.3817

Framework versions

• Transformers 4.33.0
• Pytorch 1.13.1
• Datasets 2.14.4
• Tokenizers 0.13.3