learning_rate: 0.0004
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 40
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.0076	0.9825	28	0.8407	0.3384
0.8473	1.9825	56	0.7604	0.3173
0.755	2.9825	84	0.7681	0.3114
0.7099	3.9825	112	0.7701	0.3093
0.7202	4.9825	140	0.7671	0.2989
0.6763	5.9825	168	0.7696	0.2923
0.6529	6.9825	196	0.7441	0.2917
0.6359	7.9825	224	0.7506	0.2917
0.6049	8.9825	252	0.7640	0.2854
0.5831	9.9825	280	0.7520	0.2858

kpushpender/mms-oral-cancer1

mms-oral-cancer1