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whisper-small-ft-nomethod – AI Model by octava | AlphaNeural AI
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octava
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whisper-small-ft-nomethod
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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-ft-nomethod
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1868
Wer: 11.0065
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3778
0.8666
500
0.2274
12.7597
0.2439
1.7331
1000
0.1868
11.0065
Framework versions
Transformers 4.45.0
Pytorch 2.12.0+cu130
Datasets 3.0.1
Tokenizers 0.20.0
