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whisper-small-es – AI Model by yizuzzz | AlphaNeural AI
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whisper-small-es
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
es
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Español 2.0
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: 0.3763
Wer: 16.2095
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
0.1289
1.6
1000
0.3013
18.0128
0.0243
3.2
2000
0.3383
16.2401
0.0079
4.8
3000
0.3608
16.2146
0.0027
6.4
4000
0.3763
16.2095
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
