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whisper-large-v2-english-2 – AI Model by tgrhn | AlphaNeural AI
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tgrhn
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whisper-large-v2-english-2
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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-2
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: 0.2692
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1903
0.5219
1000
0.2513
0.1694
1.0438
2000
0.2489
0.1207
1.5658
3000
0.2515
0.1034
2.0877
4000
0.2671
0.0729
2.6096
5000
0.2692
Framework versions
Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.18.0
Tokenizers 0.20.1
