Update README.md

README.md

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----
-license: mit
-base_model: indobenchmark/indobert-large-p2
-tags:
-- generated_from_trainer
-model-index:
-- name: Indonesian-LegalBERT-lite
-  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. -->
-
-# Indonesian-LegalBERT-lite
-
-This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0589
-
-## 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: 2e-05
-- train_batch_size: 128
-- eval_batch_size: 128
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.8363        | 1.0   | 2870 | 1.1978          |
-| 1.2286        | 2.0   | 5740 | 1.0848          |
-| 1.1488        | 3.0   | 8610 | 1.0526          |
-
-
-### Framework versions
-
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.0
-- Tokenizers 0.13.3
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