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-lora-r8-3
+  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-lora-r8-3
+
+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: 0.2951
+- Accuracy: 0.8722
+- Precision: 0.8512
+- Recall: 0.8346
+- F1: 0.8422
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5643        | 1.0   | 122  | 0.5218          | 0.7043   | 0.6241    | 0.5932 | 0.5982 |
+| 0.5086        | 2.0   | 244  | 0.5021          | 0.7293   | 0.6814    | 0.6960 | 0.6868 |
+| 0.4652        | 3.0   | 366  | 0.4450          | 0.7895   | 0.7464    | 0.7360 | 0.7407 |
+| 0.4248        | 4.0   | 488  | 0.3932          | 0.8346   | 0.8074    | 0.7805 | 0.7917 |
+| 0.3812        | 5.0   | 610  | 0.3704          | 0.8421   | 0.8083    | 0.8158 | 0.8119 |
+| 0.3506        | 6.0   | 732  | 0.3566          | 0.8571   | 0.8266    | 0.8314 | 0.8289 |
+| 0.3323        | 7.0   | 854  | 0.3438          | 0.8571   | 0.8365    | 0.8089 | 0.8206 |
+| 0.3108        | 8.0   | 976  | 0.3326          | 0.8622   | 0.8414    | 0.8175 | 0.8279 |
+| 0.2998        | 9.0   | 1098 | 0.3250          | 0.8672   | 0.8412    | 0.8360 | 0.8385 |
+| 0.2923        | 10.0  | 1220 | 0.3182          | 0.8571   | 0.8289    | 0.8239 | 0.8264 |
+| 0.2887        | 11.0  | 1342 | 0.3145          | 0.8722   | 0.8485    | 0.8396 | 0.8438 |
+| 0.2716        | 12.0  | 1464 | 0.3092          | 0.8722   | 0.8498    | 0.8371 | 0.8430 |
+| 0.2598        | 13.0  | 1586 | 0.3099          | 0.8772   | 0.8628    | 0.8331 | 0.8458 |
+| 0.2722        | 14.0  | 1708 | 0.3003          | 0.8772   | 0.8561    | 0.8431 | 0.8492 |
+| 0.2536        | 15.0  | 1830 | 0.2978          | 0.8772   | 0.8561    | 0.8431 | 0.8492 |
+| 0.2536        | 16.0  | 1952 | 0.2970          | 0.8822   | 0.8596    | 0.8542 | 0.8568 |
+| 0.2479        | 17.0  | 2074 | 0.2978          | 0.8822   | 0.8639    | 0.8467 | 0.8545 |
+| 0.2487        | 18.0  | 2196 | 0.2970          | 0.8772   | 0.8561    | 0.8431 | 0.8492 |
+| 0.2457        | 19.0  | 2318 | 0.2947          | 0.8722   | 0.8512    | 0.8346 | 0.8422 |
+| 0.2499        | 20.0  | 2440 | 0.2951          | 0.8722   | 0.8512    | 0.8346 | 0.8422 |
+
+
+### 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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+    "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/Jun03_12-04-57_a358b85c7679/events.out.tfevents.1717416307.a358b85c7679.66472.0

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sentiment-lora/adapter_config.json

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+{
+  "config": {
+    "alpha": 8,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.0,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 8,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "625403edad0bf919",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment-lora",
+  "version": "0.2.0"
+}

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sentiment/head_config.json

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+{
+  "config": {
+    "activation_function": "tanh",
+    "bias": true,
+    "dropout_prob": null,
+    "head_type": "classification",
+    "label2id": {
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+      "1": 1
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+    "layers": 2,
+    "num_labels": 2,
+    "use_pooler": false
+  },
+  "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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