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whisper-tiny-sep28k-1sample – AI Model by Aarush2023 | AlphaNeural AI
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whisper-tiny-sep28k-1sample
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-sep28k-1sample
This model is a fine-tuned version of
openai/whisper-tiny.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1943
Wer: 0.0
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: 1
eval_batch_size: 1
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
training_steps: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4052
10.0
10
1.3632
0.0
1.1965
20.0
20
1.1943
0.0
Framework versions
Transformers 4.53.3
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
