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240719-wav2vec2-ASR-Chinese – AI Model by zainulhakim | AlphaNeural AI
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240719-wav2vec2-ASR-Chinese
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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240719-wav2vec2-ASR-Chinese
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9113
Wer: 0.2543
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: 5
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: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
6.25
100
0.9113
0.2543
No log
12.5
200
1.0939
0.2622
No log
18.75
300
1.0345
0.2754
No log
25.0
400
1.2808
0.3083
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
