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whisper-small-hi – AI Model by basilkr | AlphaNeural AI
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basilkr
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whisper-small-hi
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-small-hi
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1846
Wer: 100.2053
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: 40
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
2.5
10
2.4583
101.2320
No log
5.0
20
1.9956
98.0493
2.3242
7.5
30
1.5232
96.5092
2.3242
10.0
40
1.1846
100.2053
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cpu
Datasets 2.9.0
Tokenizers 0.13.2
