learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu
0.3254	1.0	334	0.2252	8.69
0.2137	2.0	668	0.1577	18.3
0.1707	3.0	1002	0.1336	21.55
0.1421	4.0	1336	0.1213	21.92
0.1353	5.0	1670	0.1120	27.37
0.1179	6.0	2004	0.1070	28.74
0.1079	7.0	2338	0.1028	30.37
0.1066	8.0	2672	0.0999	32.1
0.1016	9.0	3006	0.0986	34.97
0.105	10.0	3340	0.0978	33.64

Zineddinetranslate/helsinki-fr-ar-finetuned

helsinki-fr-ar-finetuned