learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	2.6302	0.125
No log	2.0	8	2.6388	0.0893
2.5039	3.0	12	2.6415	0.0714
2.5039	4.0	16	2.6421	0.0893
2.4315	5.0	20	2.6467	0.1071
2.4315	6.0	24	2.6451	0.1071
2.4315	7.0	28	2.6422	0.0893
2.4967	8.0	32	2.6416	0.1071
2.4967	9.0	36	2.6421	0.0893
2.4238	10.0	40	2.6422	0.0893

guo1006/wav2vec2-base-finetuned-minds14

wav2vec2-base-finetuned-minds14