Model save

README.md

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+---
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indonesian-brand-indoBERT-finetuned
+  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-brand-indoBERT-finetuned
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4266
+- Accuracy: 0.8593
+- Precision: 0.8593
+- Recall: 0.8593
+- F1: 0.8593
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 304  | 0.4740          | 0.8123   | 0.8123    | 0.8123 | 0.8123 |
+| 0.5873        | 2.0   | 608  | 0.4006          | 0.8551   | 0.8551    | 0.8551 | 0.8551 |
+| 0.5873        | 3.0   | 912  | 0.4582          | 0.8444   | 0.8444    | 0.8444 | 0.8444 |
+| 0.314         | 4.0   | 1216 | 0.4116          | 0.8576   | 0.8576    | 0.8576 | 0.8576 |
+| 0.2177        | 5.0   | 1520 | 0.4266          | 0.8593   | 0.8593    | 0.8593 | 0.8593 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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