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-rf64-2
+  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-rf64-2
+
+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: 0.3398
+- Accuracy: 0.8697
+- Precision: 0.8520
+- Recall: 0.8253
+- F1: 0.8368
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5604        | 1.0   | 122  | 0.5191          | 0.7168   | 0.6431    | 0.6021 | 0.6083 |
+| 0.5023        | 2.0   | 244  | 0.5118          | 0.7293   | 0.6835    | 0.7010 | 0.6894 |
+| 0.4676        | 3.0   | 366  | 0.4660          | 0.7544   | 0.7047    | 0.7087 | 0.7066 |
+| 0.4415        | 4.0   | 488  | 0.4403          | 0.7845   | 0.7401    | 0.7300 | 0.7346 |
+| 0.4208        | 5.0   | 610  | 0.4252          | 0.8120   | 0.7731    | 0.7745 | 0.7738 |
+| 0.383         | 6.0   | 732  | 0.4142          | 0.8170   | 0.7790    | 0.7981 | 0.7869 |
+| 0.3751        | 7.0   | 854  | 0.3982          | 0.8271   | 0.8007    | 0.7651 | 0.7791 |
+| 0.3554        | 8.0   | 976  | 0.3822          | 0.8396   | 0.8187    | 0.7790 | 0.7944 |
+| 0.3502        | 9.0   | 1098 | 0.3767          | 0.8521   | 0.8201    | 0.8279 | 0.8238 |
+| 0.3326        | 10.0  | 1220 | 0.3653          | 0.8571   | 0.8322    | 0.8164 | 0.8236 |
+| 0.3246        | 11.0  | 1342 | 0.3637          | 0.8571   | 0.8335    | 0.8139 | 0.8226 |
+| 0.3255        | 12.0  | 1464 | 0.3571          | 0.8546   | 0.8284    | 0.8146 | 0.8210 |
+| 0.3096        | 13.0  | 1586 | 0.3600          | 0.8471   | 0.8321    | 0.7843 | 0.8023 |
+| 0.3123        | 14.0  | 1708 | 0.3455          | 0.8596   | 0.8347    | 0.8207 | 0.8272 |
+| 0.2937        | 15.0  | 1830 | 0.3460          | 0.8622   | 0.8467    | 0.8100 | 0.8249 |
+| 0.2941        | 16.0  | 1952 | 0.3415          | 0.8596   | 0.8336    | 0.8232 | 0.8281 |
+| 0.3031        | 17.0  | 2074 | 0.3417          | 0.8647   | 0.8410    | 0.8267 | 0.8333 |
+| 0.3003        | 18.0  | 2196 | 0.3399          | 0.8622   | 0.8361    | 0.8275 | 0.8316 |
+| 0.2976        | 19.0  | 2318 | 0.3402          | 0.8672   | 0.8496    | 0.8210 | 0.8332 |
+| 0.2956        | 20.0  | 2440 | 0.3398          | 0.8697   | 0.8520    | 0.8253 | 0.8368 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter-sentiment/adapter_config.json

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+  "config_id": "337ea3bbdc05e9b8",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "adapter-sentiment",
+  "version": "0.2.2"
+}

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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_name": "indolem/indobert-base-uncased",
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+  "name": "sentiment",
+  "version": "0.2.2"
+}

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