my_jp_asr_cv13_model – AI Model by tristayqc | AlphaNeural AI

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tristayqc/
my_jp_asr_cv13_model

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automatic-speech-recognition

generated_from_trainer

common_voice_13_0

jonatasgrosman/wav2vec2-large-xlsr-53-japanese

endpoints_compatible

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my_jp_asr_cv13_model

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

Loss: 3.1772
Cer: 0.3512
Wer: 0.875

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
0.16	250.0	1000	3.1440	0.3223	0.875
0.1061	500.0	2000	3.1772	0.3512	0.875

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1