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sinonimayzer
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UzRoBERTa-v3

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Uzbek
roberta
generated_from_trainer
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UzRoBERTa-v3

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9097

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 92
  • eval_batch_size: 92
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 500000

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model size
126M params
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F32
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Dataset used to train sinonimayzer/UzRoBERTa-v3

Space using sinonimayzer/UzRoBERTa-v3 1

Collection including sinonimayzer/UzRoBERTa-v3

Evaluation results

Metadata error: specify a dataset to view leaderboard