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speaker_disjoin-1_9 – AI Model by Iamth0u | AlphaNeural AI
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speaker_disjoin-1_9
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
Iamth0u/whisper_data_upload
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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openai/whisper-small
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5511
Wer: 21.6467
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
0.1123
2.1739
1000
0.4109
19.8503
0.0193
4.3478
2000
0.4849
20.4491
0.0072
6.5217
3000
0.5358
21.6317
0.0041
8.6957
4000
0.5511
21.6467
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
