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whisper-medium – AI Model by Zakryah | AlphaNeural AI
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whisper-medium
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peft
tensorboard
safetensors
generated_from_trainer
hu
mozilla-foundation/common_voice_17_0
openai/whisper-medium
adapter
apache-2.0
model-index
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Whisper Medium - Zakryah
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2773
Wer: 56.0556
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 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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.5683
0.3299
1000
0.5194
39.9527
0.3317
0.6598
2000
0.2859
59.6546
0.2961
0.9898
3000
0.2791
56.6892
0.2619
1.3197
4000
0.2773
56.0556
Framework versions
PEFT 0.14.1.dev0
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
