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whisper-tiny-ln-ojpl-2 – AI Model by BrainTheos | AlphaNeural AI
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BrainTheos
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whisper-tiny-ln-ojpl-2
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
BrainTheos/ojpl
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-ln-ojpl-2
This model is a fine-tuned version of
openai/whisper-tiny
on the BrainTheos/ojpl dataset. It achieves the following results on the evaluation set:
Loss: 1.2661
Wer Ortho: 50.1855
Wer: 0.4352
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.1767
11.36
500
0.9122
52.1142
0.4579
0.0191
22.73
1000
1.0786
53.7463
0.4538
0.0059
34.09
1500
1.1891
53.2641
0.4766
0.0019
45.45
2000
1.2661
50.1855
0.4352
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.13.1
Tokenizers 0.13.3
