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whisper-medium-gl-cv17 – AI Model by deepdml | AlphaNeural AI
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whisper-medium-gl-cv17
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tensorboard
safetensors
whisper
generated_from_trainer
automatic-speech-recognition
gl
mozilla-foundation/common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
model-index
us
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Whisper Medium gl
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1998
Wer: 5.3774
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: 32
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1504
0.9099
1000
0.1736
6.9625
0.0845
1.8198
2000
0.1567
5.8877
0.0351
2.7298
3000
0.1649
5.7172
0.0099
3.6397
4000
0.1853
5.4799
0.0037
4.5496
5000
0.1998
5.3774
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
