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breeze-asr-25-final-chinese – AI Model by shaobai880824 | AlphaNeural AI
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breeze-asr-25-final-chinese
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
MediaTek-Research/Breeze-ASR-25
finetune
apache-2.0
endpoints_compatible
us
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breeze-asr-25-final-chinese
This model is a fine-tuned version of
MediaTek-Research/Breeze-ASR-25
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2503
Wer: 95.6195
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.5631
0.2563
100
1.4911
97.4343
1.3571
0.5127
200
1.3993
96.6208
1.3228
0.7690
300
1.3090
96.3705
1.0798
1.0231
400
1.2559
95.9950
0.8171
1.2794
500
1.2503
95.6195
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
