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whisper-small-clean_6-v5 – AI Model by lyhourt | AlphaNeural AI
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lyhourt
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whisper-small-clean_6-v5
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
lyhourt/clean_6
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-clean_6-v5
This model is a fine-tuned version of
openai/whisper-small
on the lyhourt/clean_6 dataset. It achieves the following results on the evaluation set:
Loss: 0.2706
Wer: 21.2404
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: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1461
0.9452
500
0.2746
23.0473
0.0631
1.8904
1000
0.2693
21.5318
0.0334
2.8355
1500
0.2706
21.2404
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
