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pdabo1607/
Vietnamese_Wav2Vec_Finetune_final

Name: Vietnamese_Wav2Vec_Finetune_final
Availability: InStock

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Vietnamese_Wav2Vec_Finetune_final

This model is a fine-tuned version of pdabo1607/Vietnamese_Wav2Vec_Finetune_round4 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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
lr_scheduler_warmup_steps: 500
training_steps: 18400

Training Loss	Step	Validation Loss	Wer
9.7238	400	4.3969	1.0000
3.7833	800	3.4483	1.0000
3.407	1200	3.3647	1.0000
3.2531	1600	2.6273	1.0000
2.3162	2000	1.6377	0.9461
1.7377	2400	1.2870	0.7850
1.4824	2800	1.0638	0.6756
1.3022	3200	0.9677	0.6144
1.2161	3600	0.9012	0.5805
1.1507	4000	0.8627	0.5556
1.1122	4400	0.8179	0.5373
1.0667	4800	0.8080	0.5243
1.0605	5200	0.7947	0.5131
1.0229	5600	0.7955	0.5057
1.0302	6000	0.7778	0.5015
1.0061	6400	0.7866	0.4910
0.9727	6800	0.7485	0.4661
0.9473	7200	0.7261	0.4480
0.9033	7600	0.6793	0.4289
0.8801	8000	0.6727	0.4187
0.841	8400	0.6516	0.4098
0.8444	8800	0.6555	0.4033
0.8071	9200	0.6455	0.3991
0.8118	9600	0.6454	0.3944
0.8058	10000	0.6419	0.3930
0.7995	10400	0.6439	0.3878
0.7842	10800	0.6291	0.3822
0.7837	11200	0.6274	0.3709
0.7521	11600	0.6054	0.3651
0.7347	12000	0.5874	0.3617
0.7016	12400	0.5702	0.3542
0.7089	12800	0.5749	0.3491
0.6764	13200	0.5636	0.3443
0.6805	13600	0.5645	0.3392
0.6748	14000	0.5781	0.3363
0.6755	14400	0.5584	0.3366
0.6588	14800	0.5599	0.3315
0.6725	15200	0.5585	0.3280
0.6542	15600	0.5621	0.3264
0.6718	16000	0.5584	0.3267
0.6193	16400	0.5056	0.3152
0.5927	16800	0.5112	0.2921
0.5711	17200	0.5021	0.2926
0.5927	17600	0.4980	0.2931
0.5655	18000	0.5047	0.2842
0.5578	18400	0.4958	0.2830