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whisper-small-chichewa-1h – AI Model by dmatekenya | AlphaNeural AI
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dmatekenya
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whisper-small-chichewa-1h
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-chichewa-1h
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: 3.4894
Wer: 156.3333
Cer: 118.0469
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: 2
eval_batch_size: 8
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: 5
training_steps: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
3.4192
0.0820
10
3.6337
207.1667
156.2051
3.1910
0.1639
20
3.4894
156.3333
118.0469
Framework versions
Transformers 5.4.0
Pytorch 2.11.0
Datasets 4.8.5
Tokenizers 0.22.2
