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Delete qqp

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qqp/README.md DELETED
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- ---
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- library_name: transformers
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- language:
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- - en
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- license: apache-2.0
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- base_model: google-bert/bert-base-cased
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- tags:
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- - generated_from_trainer
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- datasets:
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- - glue
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- metrics:
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- - accuracy
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- - f1
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- model-index:
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- - name: qqp
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- results:
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- - task:
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- name: Text Classification
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- type: text-classification
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- dataset:
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- name: GLUE QQP
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- type: glue
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- args: qqp
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9088053425674004
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- - name: F1
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- type: f1
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- value: 0.8766435812506274
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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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- # qqp
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-
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- This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE QQP dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.5929
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- - Accuracy: 0.9088
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- - F1: 0.8766
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- - Combined Score: 0.8927
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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: 1e-05
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- - train_batch_size: 32
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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: 10.0
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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 4.49.0
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- - Pytorch 2.6.0+cu118
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- - Datasets 3.3.1
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- - Tokenizers 0.21.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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