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ASR_Ascend_Whisper – AI Model by whismyswift | AlphaNeural AI
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ASR_Ascend_Whisper
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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ASR_Ascend_Whisper
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5906
Wer: 107.3292
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: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2465
1.6181
500
0.5249
114.4410
0.0871
3.2362
1000
0.5664
105.5280
0.0494
4.8544
1500
0.5906
107.3292
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
