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-seq_bn-2
+  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-seq_bn-2
+
+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: 0.3205
+- Accuracy: 0.8772
+- Precision: 0.8609
+- Recall: 0.8356
+- F1: 0.8467
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5517        | 1.0   | 122  | 0.5131          | 0.7168   | 0.6513    | 0.6371 | 0.6424 |
+| 0.4833        | 2.0   | 244  | 0.4657          | 0.7519   | 0.7088    | 0.7295 | 0.7159 |
+| 0.4318        | 3.0   | 366  | 0.4056          | 0.8120   | 0.7729    | 0.7845 | 0.7781 |
+| 0.3905        | 4.0   | 488  | 0.3811          | 0.8421   | 0.8092    | 0.8108 | 0.8100 |
+| 0.3626        | 5.0   | 610  | 0.3652          | 0.8496   | 0.8186    | 0.8186 | 0.8186 |
+| 0.3331        | 6.0   | 732  | 0.3646          | 0.8546   | 0.8214    | 0.8497 | 0.8325 |
+| 0.3134        | 7.0   | 854  | 0.3440          | 0.8672   | 0.8412    | 0.8360 | 0.8385 |
+| 0.2927        | 8.0   | 976  | 0.3412          | 0.8647   | 0.8359    | 0.8392 | 0.8376 |
+| 0.2833        | 9.0   | 1098 | 0.3353          | 0.8647   | 0.8352    | 0.8417 | 0.8383 |
+| 0.2672        | 10.0  | 1220 | 0.3296          | 0.8672   | 0.8367    | 0.8510 | 0.8432 |
+| 0.2641        | 11.0  | 1342 | 0.3270          | 0.8772   | 0.8576    | 0.8406 | 0.8484 |
+| 0.2549        | 12.0  | 1464 | 0.3352          | 0.8697   | 0.8558    | 0.8203 | 0.8350 |
+| 0.2534        | 13.0  | 1586 | 0.3402          | 0.8697   | 0.8602    | 0.8153 | 0.8330 |
+| 0.2389        | 14.0  | 1708 | 0.3208          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+| 0.2203        | 15.0  | 1830 | 0.3279          | 0.8747   | 0.8605    | 0.8288 | 0.8422 |
+| 0.2298        | 16.0  | 1952 | 0.3175          | 0.8747   | 0.8552    | 0.8363 | 0.8448 |
+| 0.2227        | 17.0  | 2074 | 0.3218          | 0.8747   | 0.8586    | 0.8313 | 0.8431 |
+| 0.2225        | 18.0  | 2196 | 0.3178          | 0.8772   | 0.8524    | 0.8506 | 0.8515 |
+| 0.2192        | 19.0  | 2318 | 0.3199          | 0.8772   | 0.8609    | 0.8356 | 0.8467 |
+| 0.2229        | 20.0  | 2440 | 0.3205          | 0.8772   | 0.8609    | 0.8356 | 0.8467 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

adapter-sentiment/adapter_config.json

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+  },
+  "config_id": "9076f36a74755ac4",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "adapter-sentiment",
+  "version": "0.2.0"
+}

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default/head_config.json

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sentiment/head_config.json

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+    "head_type": "classification",
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+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment",
+  "version": "0.2.0"
+}

sentiment/pytorch_model_head.bin

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