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@@ -3,10 +3,14 @@ library_name: transformers
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  license: mit
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  base_model: cointegrated/rubert-tiny
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  tags:
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- - generated_from_trainer
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  model-index:
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  - name: rubert-tiny-antispam
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,39 +19,3 @@ should probably proofread and complete it, then remove this comment. -->
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  # rubert-tiny-antispam
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  This model is a fine-tuned version of [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) on an unknown dataset.
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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- - seed: 42
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- - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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-
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- ### Training results
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-
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- ### Framework versions
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-
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- - Transformers 4.46.2
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- - Pytorch 2.5.1+cu121
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- - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
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  license: mit
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  base_model: cointegrated/rubert-tiny
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  tags:
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+ - antispam
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  model-index:
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  - name: rubert-tiny-antispam
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  results: []
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+ language:
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+ - ru
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+ - en
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+ pipeline_tag: text-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # rubert-tiny-antispam
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  This model is a fine-tuned version of [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) on an unknown dataset.