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whisper_small_c1 – Dataset by cwchoi | AlphaNeural AI
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whisper_small_c1
This model is a fine-tuned version of
openai/whisper-small
on the telephone dataset. It achieves the following results on the evaluation set:
Loss: 0.7706
Cer: 15.7895
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: 4
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: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0
333.33
1000
0.6593
14.2857
0.0
666.67
2000
0.7241
12.0301
0.0
1000.0
3000
0.7576
15.7895
0.0
1333.33
4000
0.7706
15.7895
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.16.0
Tokenizers 0.15.0
