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whisper-large-v2-english-5 – AI Model by tgrhn | AlphaNeural AI
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tgrhn
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whisper-large-v2-english-5
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v2
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v2-english-5
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2743
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1937
0.7348
1000
0.2548
0.1117
1.4695
2000
0.2537
0.0803
2.2043
3000
0.2693
0.0533
2.9390
4000
0.2743
Framework versions
Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.18.0
Tokenizers 0.20.1
