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whisper-large-v2-german – AI Model by Sandiago21 | AlphaNeural AI
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Sandiago21
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whisper-large-v2-german
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
voxpopuli
openai/whisper-large-v2
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-large-v2-german
This model is a fine-tuned version of
openai/whisper-large-v2
on the voxpopuli dataset. It achieves the following results on the evaluation set:
Loss: 0.2841
Wer Ortho: 0.1517
Wer: 0.1220
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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.2616
1.0
1679
0.2695
0.1601
0.1303
0.1801
2.0
3358
0.2690
0.1554
0.1235
0.1185
3.0
5037
0.2841
0.1517
0.1220
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
