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- ---
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- tags:
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- - generated_from_keras_callback
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- model-index:
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- - name: bert_fineTuned
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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 Keras had access to. You should
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- probably proofread and complete it, then remove this comment. -->
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-
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- # bert_fineTuned
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-
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- This model was trained from scratch on an unknown dataset.
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- It achieves the following results on the evaluation set:
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-
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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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- - optimizer: None
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- - training_precision: float32
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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 4.38.2
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- - TensorFlow 2.13.0
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- - Datasets 2.16.0
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- - Tokenizers 0.15.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: ukzash1/bert_fineTuned
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+ results:
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+ - task:
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+ type: sequence-classification
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+ dataset:
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+ name: glue
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+ type: cola
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+ metrics:
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+ - name: Validation Accuracy
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+ type: Accuracy
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+ value: 0.8207
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+ source:
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+ name: Hugging Face Model Hub
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+ url: https://huggingface.co/ukzash1/bert_fineTuned
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+ library_name: transformers
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+ widget:
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+ - text: I liked this movie
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+ output:
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+ - label: Acceptable
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+ score: 0.8
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+ - label: Not Acceptable
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+ score: 0.2
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+ - text: I liked movie this was
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+ output:
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+ - label: Acceptable
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+ score: 0.3
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+ - label: Not Acceptable
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+ score: 0.7
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+ license: apache-2.0
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+ language:
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+ - en
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+ pipeline_tag: text-classification
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_fineTuned
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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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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+ - optimizer: None
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+ - training_precision: float32
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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 4.38.2
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+ - TensorFlow 2.13.0
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.2