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whisper-small-hi-benin1 – AI Model by Sammyeazzy | AlphaNeural AI
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Sammyeazzy
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whisper-small-hi-benin1
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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-hi-benin1
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: 0.4379
Wer: 4.7977
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: 4e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 25
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.6962
0.3322
100
3.6847
5.1057
2.9625
0.6645
200
2.8324
8.2138
2.222
0.9967
300
2.1554
7.3057
0.5695
1.3289
400
0.5352
4.9540
0.3582
1.6611
500
0.4379
4.7977
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
