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whisper-large-coes-v10 – AI Model by Cristhian2430 | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
es
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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Whisper Large SEIN - COES SEIN - Version 10
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: 2.9839
Wer: 58.2114
Num Input Tokens Seen: 0
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 8000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0.dev0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
