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marcus2000/HSE_PRAVO_complexity_classifier_large

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README.md ADDED
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+ ---
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+ base_model: ai-forever/ruBert-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: HSE_PRAVO_complexity_classifier_large_nolora
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # HSE_PRAVO_complexity_classifier_large_nolora
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+
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+ This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co/ai-forever/ruBert-large) 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-06
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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+ - seed: 42
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+ - gradient_accumulation_steps: 10
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+ - total_train_batch_size: 30
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - training_steps: 200
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.15.2
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+ ],
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+ "layer_norm_eps": 1e-12,
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+ "pooler_type": "first_token_transform",
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+ "problem_type": "single_label_classification",
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