learning_rate: 0.0004
train_batch_size: 4
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
6.9162	0.1621	100	0.5752	0.4898
0.4731	0.3241	200	0.3338	0.3774
0.4288	0.4862	300	0.3089	0.3573
0.3767	0.6483	400	0.3064	0.3607
0.4865	0.8104	500	0.3002	0.3558
0.3979	0.9724	600	0.2988	0.3565
0.3744	1.1345	700	0.2918	0.3596
0.4063	1.2966	800	0.2944	0.3497
0.3615	1.4587	900	0.2875	0.3543
0.3965	1.6207	1000	0.2790	0.3369
0.3846	1.7828	1100	0.2788	0.3372
0.3838	1.9449	1200	0.2747	0.3297
0.4338	2.1070	1300	0.2698	0.3361
0.2994	2.2690	1400	0.2688	0.3263
0.3604	2.4311	1500	0.2718	0.3259
0.3553	2.5932	1600	0.2687	0.3289
0.3616	2.7553	1700	0.2674	0.3232
0.3265	2.9173	1800	0.2656	0.3119
0.2892	3.0794	1900	0.2644	0.3221
0.2685	3.2415	2000	0.2646	0.3153
0.3268	3.4036	2100	0.2640	0.3183
0.2855	3.5656	2200	0.2620	0.3202
0.3351	3.7277	2300	0.2604	0.3195
0.4487	3.8898	2400	0.2593	0.3195

bishaltwr/checkpoints

checkpoints