End of training
Browse files- README.md +10 -8
- all_results.json +12 -12
- eval_results.json +8 -8
- logs/events.out.tfevents.1686772856.serv-9219.1715196.7 +3 -0
- train_results.json +5 -5
- trainer_state.json +115 -64
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type: glue
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config: qqp
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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- name: F1
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type: f1
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value: 0.
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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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# add_BERT_no_pretrain_qqp
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This model is a fine-tuned version of [](https://huggingface.co/) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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- Combined Score: 0.
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## Model description
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---
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language:
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- en
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tags:
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- generated_from_trainer
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datasets:
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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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config: qqp
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6823893148651992
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- name: F1
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type: f1
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value: 0.4704523897892697
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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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# add_BERT_no_pretrain_qqp
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This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE QQP dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5939
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- Accuracy: 0.6824
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- F1: 0.4705
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- Combined Score: 0.5764
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## Model description
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