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distil-whisper-coraa-mupe-asr – AI Model by nilc-nlp | AlphaNeural AI
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distil-whisper-coraa-mupe-asr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
pt
nilc-nlp/CORAA-MUPE-ASR
RodrigoLimaRFL/distil-whisper-nurc-sp-fine-tuned
finetune
mit
model-index
endpoints_compatible
us
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CORAA-MUPE-ASR distil-whisper fine-tuned
This model is a fine-tuned version of
RodrigoLimaRFL/distil-whisper-nurc-sp-fine-tuned
on the CORAA-MUPE-ASR dataset. It achieves the following results on the evaluation set:
Loss: 0.3488
Wer: 15.2736
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
0.4451
0.0558
1000
0.4482
18.5598
0.4006
0.1116
2000
0.4095
17.3061
0.2992
0.1674
3000
0.3848
16.5660
0.2781
0.2232
4000
0.3609
15.5857
0.2839
0.2790
5000
0.3488
15.2736
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1