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_FUSED 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	Precision	Recall	F1
No log	2.8696	34	0.6804	0.5556	0.0	0.0	0.0
No log	5.6957	68	0.6793	0.5556	0.0	0.0	0.0
No log	8.5217	102	0.5742	0.7222	0.65	0.8125	0.7222
1.2994	11.3478	136	0.6844	0.5833	0.5556	0.3125	0.4
1.2994	14.1739	170	0.5814	0.7222	0.6667	0.75	0.7059
1.2994	17.0	204	0.8023	0.5833	0.5172	0.9375	0.6667
1.1500	19.8696	238	0.6102	0.7222	0.6364	0.875	0.7368

Mrsmetamorphosis/wav2vec2-large-xls-r-300m-dm32-baseline

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