license, base_model, tags, datasets, metrics, model-index

license	base_model	tags	datasets	metrics	model-index
apache-2.0	jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn	generated_from_trainer	common_voice_13_0	wer cer	name results my_zh_CN_asr_cv13_model task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type config split args common_voice_13_0 common_voice_13_0 zh-CN train zh-CN name type value Wer wer 0.375 name type value Cer cer 0.0674

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