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pdabo1607/
Vietnamese_Wav2Vec_Finetune_round3

Name: Vietnamese_Wav2Vec_Finetune_round3
Availability: InStock

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Vietnamese_Wav2Vec_Finetune_round3

This model is a fine-tuned version of pdabo1607/Vietnamese_Wav2Vec_Finetune_round2 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.7995	0.9434	400	0.6439	0.3878
0.7842	1.8868	800	0.6291	0.3822
0.7837	2.8302	1200	0.6274	0.3709
0.7521	3.7736	1600	0.6054	0.3651
0.7347	4.7170	2000	0.5874	0.3617
0.7016	5.6604	2400	0.5702	0.3542
0.7089	6.6038	2800	0.5749	0.3491
0.6764	7.5472	3200	0.5636	0.3443
0.6805	8.4906	3600	0.5645	0.3392
0.6748	9.4340	4000	0.5781	0.3363
0.6755	10.3774	4400	0.5584	0.3366
0.6588	11.3208	4800	0.5599	0.3315
0.6725	12.2642	5200	0.5585	0.3280
0.6542	13.2075	5600	0.5621	0.3264
0.6718	14.1509	6000	0.5584	0.3267