learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 4
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: 500
training_steps: 40000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.2530	3.9062	5000	0.7313	39.7873
0.0807	7.8125	10000	0.7854	38.2514
0.0304	11.7188	15000	0.7471	35.8293
0.0155	15.625	20000	0.7185	31.2805
0.0039	19.5312	25000	0.6875	28.7698
0.0008	23.4375	30000	0.6648	27.8541
0.0000	27.3438	35000	0.6559	25.7274
0.0000	31.25	40000	0.6537	25.4320

Eimhin03/output_model_shunyalabs_data_base_model_40k

output_model_shunyalabs_data_base_model_40k