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whisper-small-pt – AI Model by anatal | AlphaNeural AI
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anatal
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whisper-small-pt
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
pt
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small pt - CV
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: 0.3521
Wer: 17.1586
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
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 32
total_eval_batch_size: 16
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
0.1452
1.4556
1000
0.2624
17.9483
0.0733
2.9112
2000
0.2660
17.1344
0.0118
4.3668
3000
0.3177
17.2583
0.0066
5.8224
4000
0.3521
17.1586
Framework versions
Transformers 4.52.4
Pytorch 2.8.0.dev20250515+cu128
Datasets 3.6.0
Tokenizers 0.21.1
