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dd-turbo-q – AI Model by Akbarkhon | AlphaNeural AI
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Akbarkhon
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dd-turbo-q
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Akbarkhon/dd-turbo-g
finetune
mit
endpoints_compatible
us
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dd-turbo-q
This model is a fine-tuned version of
Akbarkhon/dd-turbo-g
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0879
Wer: 8.4041
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1741
0.0319
1000
0.1419
12.6098
0.1299
0.0638
2000
0.1273
11.1191
0.1227
0.0957
3000
0.1075
9.9237
0.1071
0.1277
4000
0.0940
9.0883
0.0949
0.1596
5000
0.0879
8.4041
Framework versions
Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
