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whisper-small-fon-v1 – AI Model by amaniopia | AlphaNeural AI
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amaniopia
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whisper-small-fon-v1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-fon-v1
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2478
Wer: 67.2066
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.2991
1.0
1847
1.6141
96.3487
1.0427
2.0
3694
1.2899
72.8601
0.4691
3.0
5541
1.2478
67.2066
Framework versions
Transformers 4.50.3
Pytorch 2.1.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1
