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-ia3
+  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-ia3
+
+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: 0.4042
+- Accuracy: 0.8145
+- Precision: 0.7763
+- Recall: 0.7763
+- F1: 0.7763
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5636        | 1.0   | 122  | 0.5070          | 0.7243   | 0.6575    | 0.6274 | 0.6354 |
+| 0.5128        | 2.0   | 244  | 0.5015          | 0.7343   | 0.6911    | 0.7120 | 0.6976 |
+| 0.4941        | 3.0   | 366  | 0.4709          | 0.7469   | 0.6955    | 0.6984 | 0.6969 |
+| 0.4702        | 4.0   | 488  | 0.4496          | 0.7744   | 0.7275    | 0.7154 | 0.7207 |
+| 0.4704        | 5.0   | 610  | 0.4521          | 0.7719   | 0.7270    | 0.7386 | 0.7320 |
+| 0.4616        | 6.0   | 732  | 0.4490          | 0.7644   | 0.7175    | 0.7258 | 0.7213 |
+| 0.4543        | 7.0   | 854  | 0.4381          | 0.7820   | 0.7389    | 0.7532 | 0.7449 |
+| 0.4532        | 8.0   | 976  | 0.4197          | 0.8070   | 0.7744    | 0.7385 | 0.7519 |
+| 0.4517        | 9.0   | 1098 | 0.4195          | 0.7970   | 0.7551    | 0.7539 | 0.7545 |
+| 0.4438        | 10.0  | 1220 | 0.4102          | 0.8170   | 0.8013    | 0.7330 | 0.7540 |
+| 0.4389        | 11.0  | 1342 | 0.4112          | 0.8271   | 0.7933    | 0.7826 | 0.7876 |
+| 0.4428        | 12.0  | 1464 | 0.4179          | 0.7970   | 0.7555    | 0.7664 | 0.7604 |
+| 0.4421        | 13.0  | 1586 | 0.4030          | 0.8321   | 0.8110    | 0.7662 | 0.7828 |
+| 0.4403        | 14.0  | 1708 | 0.4037          | 0.8321   | 0.8014    | 0.7837 | 0.7915 |
+| 0.4392        | 15.0  | 1830 | 0.4077          | 0.8221   | 0.7852    | 0.7866 | 0.7859 |
+| 0.4329        | 16.0  | 1952 | 0.4062          | 0.8195   | 0.7820    | 0.7848 | 0.7834 |
+| 0.4338        | 17.0  | 2074 | 0.4058          | 0.8145   | 0.7761    | 0.7788 | 0.7774 |
+| 0.4407        | 18.0  | 2196 | 0.4042          | 0.8145   | 0.7763    | 0.7763 | 0.7763 |
+| 0.4329        | 19.0  | 2318 | 0.4033          | 0.8195   | 0.7827    | 0.7798 | 0.7812 |
+| 0.4292        | 20.0  | 2440 | 0.4042          | 0.8145   | 0.7763    | 0.7763 | 0.7763 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

default/head_config.json

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+{
+  "config": {
+    "activation_function": "gelu",
+    "bias": true,
+    "embedding_size": 768,
+    "head_type": "masked_lm",
+    "label2id": null,
+    "layer_norm": true,
+    "layers": 2,
+    "shift_labels": false,
+    "vocab_size": 31923
+  },
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "default",
+  "version": "0.2.0"
+}

default/pytorch_model_head.bin

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runs/May18_07-44-52_indolem-petl-vm/events.out.tfevents.1716018296.indolem-petl-vm.1646883.0

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sentiment-ia3/adapter_config.json

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+    "composition_mode": "scale",
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+    "init_weights": "ia3",
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+    "leave_out": [],
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+    "use_gating": false
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+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
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+  "name": "sentiment-ia3",
+  "version": "0.2.0"
+}

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sentiment/head_config.json

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+  "config": {
+    "activation_function": "tanh",
+    "bias": true,
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+    "head_type": "classification",
+    "label2id": {
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+    "num_labels": 2,
+    "use_pooler": false
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+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment",
+  "version": "0.2.0"
+}

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