End of training

README.md

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+---
+license: mit
+base_model: LazarusNLP/NusaBERT-base
+tags:
+- generated_from_trainer
+datasets:
+- indonlu
+metrics:
+- f1
+model-index:
+- name: NusaBERT-base-SmSA
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: indonlu
+      type: indonlu
+      config: smsa
+      split: validation
+      args: smsa
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8746
+---
+
+<!-- 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. -->
+
+# NusaBERT-base-SmSA
+
+This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2992
+- F1: 0.8746
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 344  | 0.2119          | 0.895  |
+| 0.3517        | 2.0   | 688  | 0.1745          | 0.9193 |
+| 0.1543        | 3.0   | 1032 | 0.1945          | 0.9135 |
+| 0.1543        | 4.0   | 1376 | 0.1901          | 0.9149 |
+| 0.1006        | 5.0   | 1720 | 0.2158          | 0.9172 |
+| 0.0652        | 6.0   | 2064 | 0.2796          | 0.9151 |
+| 0.0652        | 7.0   | 2408 | 0.3146          | 0.9164 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.1

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