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whisper-large-v3-finetuned-4 – AI Model by tkwon4 | AlphaNeural AI
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tkwon4
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whisper-large-v3-finetuned-4
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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-4
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: 0.2707
Wer: 84.5725
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: 5e-08
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
0.8473
1.0
7532
0.3636
69.4836
0.0229
2.0
15064
0.3078
54.1681
3.1078
3.0
22596
0.2848
67.0070
0.0011
4.0
30128
0.2737
75.4447
0.0001
5.0
37660
0.2707
84.5725
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
