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whisper-small-es – AI Model by Carlos-ggc | AlphaNeural AI
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whisper-small-es
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tensorboard
safetensors
whisper
generated_from_trainer
es
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
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Whisper Small Es - Carlos Gramajo
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: 0.2965
Wer: 14.5745
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.1142
1.0309
1000
0.2672
15.0677
0.045
2.0619
2000
0.2705
14.4157
0.0185
3.0928
3000
0.2895
14.6389
0.0106
4.1237
4000
0.2965
14.5745
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
