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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
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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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| 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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### 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
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