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whisper-tiny-en – AI Model by sugafree | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny EN - Tamas Szilagyi
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.5354
Wer Ortho: 0.3603
Wer: 0.3512
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
No log
0.54
15
0.5404
0.3646
0.3512
0.2486
1.07
30
0.5320
0.3664
0.3554
0.2486
1.61
45
0.5354
0.3603
0.3512
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.17.0
Tokenizers 0.15.2
