Model save
Browse files- README.md +4 -30
- emissions.csv +1 -0
- pytorch_model.bin +1 -1
README.md
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---
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language:
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- en
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license: apache-2.0
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base_model: 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: push-to-hub-test
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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 MRPC
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type: glue
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config: mrpc
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split: validation
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args: mrpc
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8676470588235294
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- name: F1
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type: f1
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value: 0.9078498293515359
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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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# push-to-hub-test
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.6255
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- Accuracy: 0.8676
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- F1: 0.9078
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- Combined Score: 0.8877
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## Model description
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---
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license: apache-2.0
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base_model: 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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model-index:
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- name: push-to-hub-test-2
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results: []
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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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# push-to-hub-test-2
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset.
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## Model description
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emissions.csv
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2023-06-07T13:33:28,27210e69-2b41-40a8-8f20-daea46e4428c,codecarbon,44.4998722076416,0.0008911166244071989,0.004233817225278285,United States,USA,new york,N,,
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2023-06-07T13:33:28,27210e69-2b41-40a8-8f20-daea46e4428c,codecarbon,44.4998722076416,0.0008911166244071989,0.004233817225278285,United States,USA,new york,N,,
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2023-08-04T11:38:58,2f35f9e5-d7b7-4dd8-828f-f298fd1131e1,codecarbon,72.98945498466492,0.0019983039386547025,0.009494215914158152,United States,USA,new york,N,,
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pytorch_model.bin
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