Update README.md

README.md

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----
-license: mit
-base_model: Amadeus99/indonesia-election-topic-classification-undersampling-large-2
-tags:
-- generated_from_trainer
-model-index:
-- name: final
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# final
-
-This model is a fine-tuned version of [Amadeus99/indonesia-election-topic-classification-undersampling-large-2](https://huggingface.co/Amadeus99/indonesia-election-topic-classification-undersampling-large-2) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.3415
-- F1 macro: 0.6715
-- Weighted: 0.7528
-- Balanced accuracy: 0.8185
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
-| 0.836         | 1.0   | 39   | 1.0747          | 0.5558   | 0.6819   | 0.7094            |
-| 0.5943        | 2.0   | 78   | 0.8587          | 0.6173   | 0.7475   | 0.8326            |
-| 0.3032        | 3.0   | 117  | 0.6988          | 0.7499   | 0.7999   | 0.8840            |
-| 0.1264        | 4.0   | 156  | 0.8485          | 0.7286   | 0.7915   | 0.8797            |
-| 0.0819        | 5.0   | 195  | 0.9576          | 0.7197   | 0.7812   | 0.8816            |
-| 0.0084        | 6.0   | 234  | 1.0325          | 0.7060   | 0.7874   | 0.8264            |
-| 0.037         | 7.0   | 273  | 1.0728          | 0.7098   | 0.7940   | 0.8261            |
-| 0.0176        | 8.0   | 312  | 1.0690          | 0.7148   | 0.7961   | 0.8350            |
-| 0.011         | 9.0   | 351  | 1.1196          | 0.7133   | 0.7913   | 0.8341            |
-| 0.003         | 10.0  | 390  | 1.1165          | 0.7133   | 0.7913   | 0.8341            |
-
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1