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whisper_medium_ptt – Dataset by dmavkgo | AlphaNeural AI
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whisper_medium_ptt
This model is a fine-tuned version of
openai/whisper-medium
on the telephone dataset. It achieves the following results on the evaluation set:
Loss: 0.9243
Cer: 20.6774
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
0.0001
71.43
1000
0.8405
21.2121
0.0
142.86
2000
0.8907
20.4991
0.0
214.29
3000
0.9152
20.6774
0.0
285.71
4000
0.9243
20.6774
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
