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whisper-large-coes-v5 – 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
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Whisper Large SEIN - COES SEIN - Version 5
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: 1.7221
Wer: 42.1053
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 adamw_torch 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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
500.0
1000
1.4765
38.6997
0.0
1000.0
2000
1.6343
39.3189
0.0
1500.0
3000
1.6978
39.9381
0.0
2000.0
4000
1.7221
42.1053
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0
