learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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	Cer
5.1348	0.7519	300	1.0405	0.2238
1.7498	1.5038	600	0.8808	0.2111
1.3650	2.2556	900	0.8322	0.1905
1.0378	3.0075	1200	0.8499	0.1965
0.7725	3.7594	1500	0.8474	0.1774
0.5685	4.5113	1800	0.9253	0.1735
0.3957	5.2632	2100	1.0293	0.1746
0.2809	6.0150	2400	1.0283	0.1754
0.1764	6.7669	2700	1.2738	0.1727
0.1236	7.5188	3000	1.3591	0.1733
0.0829	8.2707	3300	1.5282	0.1734
0.0519	9.0226	3600	1.6169	0.1708
0.0307	9.7744	3900	1.7012	0.1706

dhasmana/Magadhi-Kumaoni-Marathi-Rajasthani-w2v-bert-2.0

Magadhi-Kumaoni-Marathi-Rajasthani-w2v-bert-2.0