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rubaistt-uz-ft2 – AI Model by artop79 | AlphaNeural AI
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artop79
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rubaistt-uz-ft2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
islomov/rubaistt_v2_medium
finetune
apache-2.0
endpoints_compatible
us
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rubaistt-uz-ft2
This model is a fine-tuned version of
islomov/rubaistt_v2_medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0188
Wer: 2.0305
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: 5e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1916
2.7855
1000
0.0188
2.0305
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
