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whisper-large-v3-finetuned-2 – AI Model by tkwon4 | AlphaNeural AI
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tkwon4
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whisper-large-v3-finetuned-2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v3-finetuned-2
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8292
Wer: 29.2595
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-09
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.0224
1.0
7532
1.8944
30.6810
2.932
2.0
15064
1.8575
30.1652
1.6702
3.0
22596
1.8380
29.3775
1.9191
4.0
30128
1.8304
29.2800
2.155
5.0
37660
1.8292
29.2595
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
