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update model card README.md

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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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- - f1
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  model-index:
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  - name: opt-350m-finetuned-answerpol-02
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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
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- type: glue
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- config: answer_pol
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- split: validation
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- args: answer_pol
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- metrics:
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- - name: F1
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- type: f1
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- value: 0.8886567212509977
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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
@@ -30,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # opt-350m-finetuned-answerpol-02
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  This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.8004
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- - F1: 0.8887
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 1
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 220 | 0.8004 | 0.8887 |
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-
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-
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  ### Framework versions
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  - Transformers 4.29.2
 
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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: opt-350m-finetuned-answerpol-02
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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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  # opt-350m-finetuned-answerpol-02
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  This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 1
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  ### Framework versions
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  - Transformers 4.29.2