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-r16-3
+  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-r16-3
+
+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: 0.2726
+- Accuracy: 0.8947
+- Precision: 0.8757
+- Recall: 0.8680
+- F1: 0.8717
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.564         | 1.0   | 122  | 0.5210          | 0.7143   | 0.6432    | 0.6178 | 0.6246 |
+| 0.5007        | 2.0   | 244  | 0.4797          | 0.7519   | 0.7062    | 0.7219 | 0.7123 |
+| 0.428         | 3.0   | 366  | 0.3909          | 0.8246   | 0.7874    | 0.8009 | 0.7934 |
+| 0.3751        | 4.0   | 488  | 0.3478          | 0.8471   | 0.8159    | 0.8143 | 0.8151 |
+| 0.339         | 5.0   | 610  | 0.3369          | 0.8546   | 0.8224    | 0.8347 | 0.8280 |
+| 0.3096        | 6.0   | 732  | 0.3206          | 0.8697   | 0.8411    | 0.8478 | 0.8443 |
+| 0.2931        | 7.0   | 854  | 0.3140          | 0.8622   | 0.8373    | 0.8250 | 0.8307 |
+| 0.2765        | 8.0   | 976  | 0.3045          | 0.8722   | 0.8453    | 0.8471 | 0.8462 |
+| 0.2637        | 9.0   | 1098 | 0.3003          | 0.8797   | 0.8539    | 0.8574 | 0.8556 |
+| 0.2601        | 10.0  | 1220 | 0.2910          | 0.8797   | 0.8549    | 0.8549 | 0.8549 |
+| 0.2547        | 11.0  | 1342 | 0.2850          | 0.8897   | 0.8726    | 0.8570 | 0.8642 |
+| 0.2426        | 12.0  | 1464 | 0.2798          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.2319        | 13.0  | 1586 | 0.2811          | 0.8922   | 0.8785    | 0.8562 | 0.8662 |
+| 0.2359        | 14.0  | 1708 | 0.2720          | 0.8847   | 0.8609    | 0.8609 | 0.8609 |
+| 0.2229        | 15.0  | 1830 | 0.2722          | 0.8947   | 0.8718    | 0.8755 | 0.8737 |
+| 0.2218        | 16.0  | 1952 | 0.2731          | 0.8872   | 0.8624    | 0.8677 | 0.8650 |
+| 0.2174        | 17.0  | 2074 | 0.2738          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.2165        | 18.0  | 2196 | 0.2739          | 0.8922   | 0.8694    | 0.8712 | 0.8703 |
+| 0.2153        | 19.0  | 2318 | 0.2727          | 0.8972   | 0.8781    | 0.8723 | 0.8751 |
+| 0.2159        | 20.0  | 2440 | 0.2726          | 0.8947   | 0.8757    | 0.8680 | 0.8717 |
+
+
+### 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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+    "head_type": "masked_lm",
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+    "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_12-16-01_a358b85c7679/events.out.tfevents.1717416971.a358b85c7679.70630.0

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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": 16,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "141b248112091265",
+  "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,
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+    "head_type": "classification",
+    "label2id": {
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+    "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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