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whisper-large-v2-tr-cv17-3 – AI Model by tgrhn | AlphaNeural AI
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whisper-large-v2-tr-cv17-3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
tr
mozilla-foundation/common_voice_17
openai/whisper-large-v2
finetune
apache-2.0
endpoints_compatible
us
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Whisper Large v2 TR
This model is a fine-tuned version of
openai/whisper-large-v2
on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
Loss: 0.2155
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: 128
eval_batch_size: 128
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: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
363
0.1522
0.3982
2.0
726
0.1484
0.0674
3.0
1089
0.1564
0.0674
4.0
1452
0.1703
0.0317
5.0
1815
0.1946
0.0122
6.0
2178
0.2155
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
