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whisper-tiny-deltamon – AI Model by kosamit | AlphaNeural AI
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whisper-tiny-deltamon
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-deltamon
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0007
Wer: 0.0
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: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 40
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.0453
5.0
10
5.1551
100.0
2.8084
10.0
20
0.9061
13.3333
0.3357
15.0
30
0.0096
0.0
0.0031
20.0
40
0.0007
0.0
Framework versions
Transformers 4.33.2
Pytorch 2.1.1+cu118
Datasets 2.18.0
Tokenizers 0.13.3
