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whisper-large-v2-tr-cv17-2 – AI Model by tgrhn | AlphaNeural AI
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whisper-large-v2-tr-cv17-2
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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: 0.1520
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
363
0.1495
0.3301
2.0
726
0.1448
0.0633
3.0
1089
0.1520
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
