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open-ai-small-3 – AI Model by jadasdn | AlphaNeural AI
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jadasdn
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open-ai-small-3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
jadasdn/open-ai-small-2
finetune
apache-2.0
endpoints_compatible
us
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open-ai-small-3
This model is a fine-tuned version of
jadasdn/open-ai-small-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4889
Wer: 33.6269
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: 8
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1743
2.0
1000
0.3538
26.4483
0.0173
4.0
2000
0.4314
33.3993
0.0028
6.0
3000
0.4756
35.0962
0.0014
8.0
4000
0.4889
33.6269
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
