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whisper-large-v3-spanish – AI Model by Berly00 | AlphaNeural AI
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whisper-large-v3-spanish
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
es
facebook/covost2
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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Whisper-large-v3-spanish-transcription-v2
This model is a fine-tuned version of
openai/whisper-large-v3
on the covost2 dataset. It achieves the following results on the evaluation set:
Loss: 0.1302
Wer: 9.3640
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: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.113
1.0
4939
0.1302
9.3640
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3