learning_rate: 2e-05
train_batch_size: 100
eval_batch_size: 100
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	Sacrebleu
0.6988	1.0	468	0.6266	2.2994
0.6014	2.0	936	0.5592	4.0780
0.5548	3.0	1404	0.5231	4.9356
0.5239	4.0	1872	0.5022	5.6738
0.5063	5.0	2340	0.4875	6.2733
0.4849	6.0	2808	0.4769	6.7126
0.4701	7.0	3276	0.4705	6.9856
0.4555	8.0	3744	0.4651	7.2721
0.4524	9.0	4212	0.4601	7.5539
0.4388	10.0	4680	0.4571	7.6076
0.4341	11.0	5148	0.4549	7.7267
0.4231	12.0	5616	0.4536	7.9165
0.4174	13.0	6084	0.4519	7.9585
0.4209	14.0	6552	0.4515	7.9864
0.4167	15.0	7020	0.4516	7.9929

IAmSkyDra/BaViT_Base_Finetune_v0

BaViT_Base_Finetune_v0