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whisper-large-v3-finetuned-1 – AI Model by tkwon4 | AlphaNeural AI
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whisper-large-v3-finetuned-1
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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-1
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: 1.8569
Wer: 29.2098
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
1.0462
1.0
7532
1.9223
30.9785
0.4373
2.0
15064
1.8852
30.1356
0.6992
3.0
22596
1.8657
29.4302
1.6049
4.0
30128
1.8581
29.2253
1.0439
5.0
37660
1.8569
29.2098
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
