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whisper-clean_3 – AI Model by lyhourt | AlphaNeural AI
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lyhourt
/
whisper-clean_3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
lyhourt/clean_3
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-clean_3-400
This model is a fine-tuned version of
openai/whisper-small
on the lyhourt/clean_3 dataset. It achieves the following results on the evaluation set:
Loss: 0.0233
Wer: 4.0533
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: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0726
0.25
100
0.0732
11.2913
0.0477
0.5
200
0.0527
7.8170
0.0025
1.1425
300
0.0243
4.3428
0.0011
1.3925
400
0.0233
4.0533
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
