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whisper-large-v2-english-3 – AI Model by tgrhn | AlphaNeural AI
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tgrhn
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whisper-large-v2-english-3
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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-3
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: 0.2612
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_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1887
0.6911
1000
0.2589
0.1081
1.3822
2000
0.2612
Framework versions
Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.18.0
Tokenizers 0.20.1
