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whisper-small.en – AI Model by eai6 | AlphaNeural AI
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eai6
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whisper-small.en
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
nyansapo_ai-asr-leaderboard
generated_from_trainer
en
NyansapoAI/azure-dataset
openai/whisper-tiny.en
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny.en
This model is a fine-tuned version of
openai/whisper-tiny.en
on the Azure-dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.0691
Wer: 8.8870
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: 250
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2834
1.38
250
0.6457
19.0682
0.3634
2.76
500
0.0896
7.5065
0.216
4.14
750
0.0727
6.8162
0.1824
5.52
1000
0.0691
8.8870
Framework versions
Transformers 4.39.1
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2
