learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
num_epochs: 22
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	2.2759	34	0.6809	0.5833
No log	4.5517	68	0.6804	0.5833
No log	6.8276	102	0.6872	0.5833
0.6747	9.0690	136	0.6948	0.4167
0.6747	11.3448	170	0.6770	0.5833
0.6747	13.6207	204	0.6746	0.5833
0.6692	15.8966	238	0.6652	0.5833
0.6692	18.1379	272	0.5890	0.7292
0.6692	20.4138	306	0.5530	0.7708

youngfit/wav2vec2-large-xls-r-300m-dm32

wav2vec2-large-xls-r-300m-dm32