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whisper-small-test-minan_3 – AI Model by TSukiLen | AlphaNeural AI
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TSukiLen
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whisper-small-test-minan_3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_16_1
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-test-minan_3
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
Loss: 0.9980
Wer: 83.6475
Cer: 59.6632
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: 8
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
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0788
4.3478
1000
0.9545
84.9627
59.0285
0.0024
8.6957
2000
0.9798
83.9982
57.0596
0.0004
13.0435
3000
0.9909
83.4722
59.5855
0.0003
17.3913
4000
0.9980
83.6475
59.6632
Framework versions
Transformers 4.46.3
Pytorch 2.4.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
