learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.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: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu
1.0515	1.0	1167	0.8539	37.3803
0.8186	2.0	2334	0.7284	41.5032
0.7002	3.0	3501	0.6803	43.5555
0.6501	4.0	4668	0.6485	45.0023
0.6091	5.0	5835	0.6302	45.6329
0.5778	6.0	7002	0.6180	45.8879
0.553	7.0	8169	0.6109	46.6945
0.533	8.0	9336	0.6041	46.6169
0.5128	9.0	10503	0.6002	47.0549
0.5015	10.0	11670	0.5961	47.2017
0.4851	11.0	12837	0.5962	47.5851
0.4795	12.0	14004	0.5939	47.5400
0.4659	13.0	15171	0.5932	47.6666
0.4608	14.0	16338	0.5939	47.6703
0.4593	15.0	17505	0.5936	47.6572

NetherQuartz/tatoeba-ru-tok

tatoeba-ru-tok