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whisper_medium_tele – Dataset by cwchoi | AlphaNeural AI
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whisper_medium_tele
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: 0.2818
Cer: 100.1649
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
0.3365
0.56
1000
0.3299
100.0
0.1956
1.13
2000
0.2977
99.9842
0.1783
1.69
3000
0.2822
99.9068
0.1185
2.25
4000
0.2818
100.1649
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.16.0
Tokenizers 0.15.0
