my_zh_CN_asr_cv13_model – AI Model by tristayqc | AlphaNeural AI

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tristayqc/
my_zh_CN_asr_cv13_model

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automatic-speech-recognition

generated_from_trainer

common_voice_13_0

jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn

endpoints_compatible

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my_zh_CN_asr_cv13_model

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1614
Cer: 0.0674
Wer: 0.375

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.0489	249.002	1000	0.1566	0.0638	0.375
0.0224	499.002	2000	0.1614	0.0674	0.375

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1