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: sentiment-base-4
+  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. -->
+
+# sentiment-base-4
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7179
+- Accuracy: 0.9223
+- Precision: 0.9170
+- Recall: 0.8925
+- F1: 0.9035
+
+## 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: 30
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3833        | 1.0   | 122  | 0.3131          | 0.8697   | 0.8474    | 0.8328 | 0.8395 |
+| 0.2232        | 2.0   | 244  | 0.2697          | 0.8872   | 0.8658    | 0.8602 | 0.8629 |
+| 0.1574        | 3.0   | 366  | 0.5306          | 0.8596   | 0.8777    | 0.7782 | 0.8080 |
+| 0.0861        | 4.0   | 488  | 0.3975          | 0.9148   | 0.8923    | 0.9072 | 0.8992 |
+| 0.0444        | 5.0   | 610  | 0.4916          | 0.8972   | 0.8767    | 0.8748 | 0.8757 |
+| 0.0323        | 6.0   | 732  | 0.4763          | 0.9048   | 0.8851    | 0.8851 | 0.8851 |
+| 0.0343        | 7.0   | 854  | 0.8505          | 0.8747   | 0.8784    | 0.8113 | 0.8354 |
+| 0.021         | 8.0   | 976  | 0.5843          | 0.9073   | 0.8888    | 0.8869 | 0.8879 |
+| 0.0171        | 9.0   | 1098 | 0.7052          | 0.8972   | 0.8940    | 0.8523 | 0.8695 |
+| 0.0125        | 10.0  | 1220 | 0.7268          | 0.9048   | 0.8935    | 0.8726 | 0.8821 |
+| 0.0106        | 11.0  | 1342 | 0.7198          | 0.9123   | 0.9064    | 0.8779 | 0.8905 |
+| 0.0153        | 12.0  | 1464 | 0.6023          | 0.9098   | 0.8898    | 0.8937 | 0.8917 |
+| 0.0047        | 13.0  | 1586 | 0.7099          | 0.9148   | 0.9135    | 0.8772 | 0.8927 |
+| 0.0109        | 14.0  | 1708 | 0.6722          | 0.9098   | 0.8999    | 0.8787 | 0.8883 |
+| 0.0044        | 15.0  | 1830 | 0.7060          | 0.9198   | 0.9175    | 0.8858 | 0.8996 |
+| 0.0053        | 16.0  | 1952 | 0.7098          | 0.9223   | 0.9194    | 0.8900 | 0.9030 |
+| 0.005         | 17.0  | 2074 | 0.7069          | 0.9198   | 0.9105    | 0.8933 | 0.9012 |
+| 0.0005        | 18.0  | 2196 | 0.7586          | 0.9173   | 0.9155    | 0.8815 | 0.8962 |
+| 0.0017        | 19.0  | 2318 | 0.7198          | 0.9223   | 0.9170    | 0.8925 | 0.9035 |
+| 0.0009        | 20.0  | 2440 | 0.7179          | 0.9223   | 0.9170    | 0.8925 | 0.9035 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}