You can deploy this model and start earning money today!

pdabo1607/
Vietnamese_Wav2Vec_Finetune_round2

Name: Vietnamese_Wav2Vec_Finetune_round2
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

pdabo1607/Vietnamese_Wav2Vec_Finetune

finetune

apache-2.0

endpoints_compatible

Views

No views yet

Vietnamese_Wav2Vec_Finetune_round2

This model is a fine-tuned version of pdabo1607/Vietnamese_Wav2Vec_Finetune on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6419
Wer: 0.3930

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0061	0.9434	400	0.7866	0.4910
0.9727	1.8868	800	0.7485	0.4661
0.9473	2.8302	1200	0.7261	0.4480
0.9033	3.7736	1600	0.6793	0.4289
0.8801	4.7170	2000	0.6727	0.4187
0.841	5.6604	2400	0.6516	0.4098
0.8444	6.6038	2800	0.6555	0.4033
0.8071	7.5472	3200	0.6455	0.3991
0.8118	8.4906	3600	0.6454	0.3944
0.8058	9.4340	4000	0.6419	0.3930

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 4.4.1
Tokenizers 0.20.3

pdabo1607/Vietnamese_Wav2Vec_Finetune_round2

Vietnamese_Wav2Vec_Finetune_round2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pdabo1607/
Vietnamese_Wav2Vec_Finetune_round2