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whisper-small-pa-round3 – AI Model by kmlkrwl | AlphaNeural AI
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whisper-small-pa-round3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-small-pa-round3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3538
Wer: 39.1210
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: 16
eval_batch_size: 8
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: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0238
4.9020
250
0.2372
40.0705
0.0064
9.8039
500
0.3321
41.1557
0.0012
14.7059
750
0.3572
40.9658
0.0001
19.6078
1000
0.3538
39.1210
Framework versions
Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2