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21uyennt/
mbart-large-50-finetuned-en-to-ba

Name: mbart-large-50-finetuned-en-to-ba
Availability: InStock

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mbart-large-50-finetuned-en-to-ba

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 0
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
training_steps: 12000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.9435	0.6949	1000	2.6296	3.6886	47.431
1.2417	1.3899	2000	2.5577	4.294	52.199
1.0716	2.0848	3000	2.5397	5.2872	50.81
0.9341	2.7797	4000	2.5230	5.6413	46.144
0.843	3.4746	5000	2.5927	5.891	47.693
0.7785	4.1696	6000	2.6120	6.477	45.289
0.7117	4.8645	7000	2.6530	6.1367	45.901
0.6505	5.5594	8000	2.7041	6.0327	46.667
0.6209	6.2543	9000	2.7524	6.4298	46.083
0.5857	6.9493	10000	2.7564	6.2065	47.203
0.5484	7.6442	11000	2.7948	6.5806	46.407
0.5317	8.3391	12000	2.8138	6.0837	46.235