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starstar – Dataset by DianaJin | AlphaNeural AI
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jinkrsmodel
This model is a fine-tuned version of
openai/whisper-medium
on the DianaJin/starstar dataset. It achieves the following results on the evaluation set:
Loss: 0.8269
Cer: 9.2920
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: 50
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0011
50.0
100
0.6455
9.2920
0.0003
100.0
200
0.7593
9.2920
0.0003
150.0
300
0.8092
9.2920
0.0003
200.0
400
0.8269
9.2920
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
