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whisper-large-coes-v11 – AI Model by Cristhian2430 | AlphaNeural AI
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transformers
tensorboard
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whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
es
openai/whisper-large-v3-turbo
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mit
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Whisper Large SEIN - COES SEIN - Version 11
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the SEIN COES dataset. It achieves the following results on the evaluation set:
Loss: 2.2439
Wer: 54.4132
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0161
66.6667
1000
1.9023
55.7711
0.0029
133.3333
2000
2.0437
56.1106
0.0002
200.0
3000
2.1777
55.8196
0.0001
266.6667
4000
2.2258
55.5771
0.0001
333.3333
5000
2.2439
54.4132
Framework versions
Transformers 4.45.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.20.3
