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update model card README.md

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@@ -2,11 +2,6 @@
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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  model-index:
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  - name: model1_absa
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  results: []
@@ -18,12 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # model1_absa
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.7594
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- - Precision: 0.0613
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- - Recall: 0.0354
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- - F1: 0.0449
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- - Accuracy: 0.2975
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  ## Model description
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@@ -48,15 +37,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 7 | 1.7791 | 0.0295 | 0.0324 | 0.0309 | 0.2927 |
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- | No log | 2.0 | 14 | 1.7594 | 0.0613 | 0.0354 | 0.0449 | 0.2975 |
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-
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  ### Framework versions
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: model1_absa
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  results: []
 
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  # model1_absa
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
 
 
 
 
 
 
 
 
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  ### Framework versions
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