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voice – Dataset by xppast | AlphaNeural AI
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Model card
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jinkrsmodel
This model is a fine-tuned version of
openai/whisper-base
on the xppast/voice dataset. It achieves the following results on the evaluation set:
Loss: 1.6485
Cer: 40.4444
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0146
33.33
100
1.4532
35.5556
0.0034
66.67
200
1.5364
40.8889
0.0013
100.0
300
1.5890
41.3333
0.0007
133.33
400
1.6485
40.4444
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
