learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use 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: 50
training_steps: 795
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
2.8614	1.25	50	0.2854	17.6471
0.1863	2.5	100	0.0002	25.7919
0.0009	3.75	150	0.0001	17.1946
0.0001	5.0	200	0.0001	19.0045
0.0001	6.25	250	0.0001	23.9819
0.0001	7.5	300	0.0001	25.7919
0.0001	8.75	350	0.0001	22.6244
0.0001	10.0	400	0.0001	24.8869
0.0001	11.25	450	0.0001	23.5294
0.0001	12.5	500	0.0001	27.1493
0.0001	13.75	550	0.0001	26.6968
0.0001	15.0	600	0.0001	28.5068
0.0001	16.25	650	0.0001	29.4118
0.0001	17.5	700	0.0001	29.8643
0.0001	18.75	750	0.0001	31.2217

deepinfinityai/v5_Robust_Model

v5_Robust_Model