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Update README.md

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@@ -26,6 +26,9 @@ model-index:
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  - name: F1
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  type: f1
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  value: 0.9034223843742829
 
 
 
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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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  More information needed
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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: 20
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  ### Training results
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@@ -86,13 +73,12 @@ The following hyperparameters were used during training:
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  | 0.0033 | 16.0 | 11008 | 0.7442 | 0.9214 | 0.8902 |
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  | 0.0 | 17.0 | 11696 | 0.7513 | 0.9254 | 0.8974 |
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  | 0.0 | 18.0 | 12384 | 0.7554 | 0.9270 | 0.8999 |
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- | 0.0 | 19.0 | 13072 | 0.7618 | 0.9262 | 0.8979 |
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- | 0.0011 | 20.0 | 13760 | 0.7549 | 0.9278 | 0.9005 |
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  ### Framework versions
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  - Transformers 4.27.4
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.11.0
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- - Tokenizers 0.13.3
 
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  - name: F1
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  type: f1
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  value: 0.9034223843742829
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+ language:
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+ - id
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+ pipeline_tag: text-classification
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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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  More information needed
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  ### Training results
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  | 0.0033 | 16.0 | 11008 | 0.7442 | 0.9214 | 0.8902 |
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  | 0.0 | 17.0 | 11696 | 0.7513 | 0.9254 | 0.8974 |
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  | 0.0 | 18.0 | 12384 | 0.7554 | 0.9270 | 0.8999 |
 
 
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+ Although trained with 18 epochs, this model uses the best weight (Epoch 2)
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  ### Framework versions
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  - Transformers 4.27.4
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.11.0
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+ - Tokenizers 0.13.3