wav2vec2.0_train_on_2100_audio – AI Model by AnhDuc2507 | AlphaNeural AI

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AnhDuc2507/
wav2vec2.0_train_on_2100_audio

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automatic-speech-recognition

generated_from_trainer

common_voice_11_0

nguyenvulebinh/wav2vec2-base-vietnamese-250h

endpoints_compatible

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This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 1.6430
Wer: 0.7862

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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
19.1789	6.3291	500	5.0724	1.0
4.4582	12.6582	1000	3.4558	0.9989
3.8596	18.9873	1500	3.1687	0.9905
2.8095	25.3165	2000	2.2626	0.9084
2.0404	31.6456	2500	1.8938	0.8220
1.6879	37.9747	3000	1.6430	0.7862

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1