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whisper-small-tk – AI Model by ray0303 | AlphaNeural AI
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whisper-small-tk
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
tk
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small TK - Abdyrahman Gudratullayew
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 1.3114
Wer: 57.9337
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0083
14.0845
1000
1.1117
60.3571
0.0003
28.1690
2000
1.2099
57.7041
0.0002
42.2535
3000
1.2640
58.0102
0.0001
56.3380
4000
1.2973
58.1378
0.0001
70.4225
5000
1.3114
57.9337
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
