End of training

README.md

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+---
+license: mit
+base_model: cahya/roberta-base-indonesian-522M
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-indonesian-522M-with-sa-william-dataset-v2
+  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. -->
+
+# roberta-base-indonesian-522M-with-sa-william-dataset-v2
+
+This model is a fine-tuned version of [cahya/roberta-base-indonesian-522M](https://huggingface.co/cahya/roberta-base-indonesian-522M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1121
+
+## 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: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.185         | 1.0   | 299  | 0.1121          |
+| 0.0966        | 2.0   | 598  | 0.1274          |
+| 0.0711        | 3.0   | 897  | 0.1431          |
+| 0.054         | 4.0   | 1196 | 0.1676          |
+| 0.047         | 5.0   | 1495 | 0.1508          |
+| 0.0427        | 6.0   | 1794 | 0.1570          |
+| 0.0343        | 7.0   | 2093 | 0.1229          |
+| 0.029         | 8.0   | 2392 | 0.1430          |
+| 0.0316        | 9.0   | 2691 | 0.1748          |
+| 0.0254        | 10.0  | 2990 | 0.1562          |
+| 0.0241        | 11.0  | 3289 | 0.1197          |
+| 0.0222        | 12.0  | 3588 | 0.1190          |
+| 0.0244        | 13.0  | 3887 | 0.1471          |
+| 0.0222        | 14.0  | 4186 | 0.1382          |
+| 0.02          | 15.0  | 4485 | 0.1466          |
+| 0.0214        | 16.0  | 4784 | 0.1744          |
+| 0.0186        | 17.0  | 5083 | 0.1457          |
+| 0.0196        | 18.0  | 5382 | 0.1515          |
+| 0.0182        | 19.0  | 5681 | 0.1456          |
+| 0.0189        | 20.0  | 5980 | 0.1450          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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