learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 0.1
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
1.0919	0.1290	2000	0.6478	0.0386	0.1045
1.1127	0.2581	4000	0.6151	0.0378	0.0975
1.0402	0.3871	6000	0.5755	0.0334	0.0907
0.9637	0.5161	8000	0.5434	0.0327	0.0867
0.9027	0.6452	10000	0.5157	0.0318	0.0834
0.8803	0.7742	12000	0.4868	0.0284	0.0781
0.8560	0.9032	14000	0.4738	0.0278	0.0751
0.8372	1.0	15500	0.4678	0.0269	0.0731

cyttic/trocr-bigram2-ep3

trocr-bigram2-ep3