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whisper-small-et – AI Model by rristo | AlphaNeural AI
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whisper-small-et
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
et
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small et
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.9972
Wer: 45.7278
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0045
19.01
1000
0.8365
46.1129
0.0031
39.01
2000
0.9022
46.4116
0.0005
59.01
3000
0.9536
45.3921
0.0003
79.01
4000
0.9844
45.7771
0.0003
99.01
5000
0.9972
45.7278
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
