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whisper-small-twi – AI Model by winsweb | AlphaNeural AI
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whisper-small-twi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-small-twi
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3872
Wer: 73.3543
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: Use OptimizerNames.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_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2865
2.2124
1000
1.1844
78.8981
0.1394
4.4248
2000
1.2766
78.3445
0.0944
6.6372
3000
1.3502
73.8312
0.0587
8.8496
4000
1.3872
73.3543
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
