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whisper-tiny-1 – AI Model by Ahbabo232 | AlphaNeural AI
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whisper-tiny-1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
es
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Es - Sanchit Gandhi
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: 0.0587
Cer: 97.1842
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 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: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0341
8.0
1000
0.0731
74.1248
0.0002
16.0
2000
0.0569
96.7275
0.0001
24.0
3000
0.0587
97.1842
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.1.dev0
Tokenizers 0.20.3
