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whisper-small-pt-cv17 – AI Model by deepdml | AlphaNeural AI
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whisper-small-pt-cv17
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tensorboard
safetensors
whisper
generated_from_trainer
automatic-speech-recognition
pt
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper Small pt
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3836
Wer: 11.0346
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: 64
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
0.1139
2.0325
1000
0.2474
10.7516
0.024
4.0650
2000
0.2882
10.7692
0.0065
6.0976
3000
0.3367
11.0889
0.0028
8.1301
4000
0.3731
11.0362
0.0023
10.1626
5000
0.3836
11.0346
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
