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README.md
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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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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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<!-- 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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# bert_fineTuned
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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### Framework versions
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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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