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-r2a2d0.1-0
+  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-r2a2d0.1-0
+
+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: 0.3608
+- Accuracy: 0.8471
+- Precision: 0.8138
+- Recall: 0.8243
+- F1: 0.8187
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5634        | 1.0   | 122  | 0.5108          | 0.7193   | 0.6572    | 0.6489 | 0.6524 |
+| 0.5081        | 2.0   | 244  | 0.5049          | 0.7218   | 0.6829    | 0.7082 | 0.6888 |
+| 0.4924        | 3.0   | 366  | 0.4667          | 0.7494   | 0.6977    | 0.6977 | 0.6977 |
+| 0.4698        | 4.0   | 488  | 0.4392          | 0.7794   | 0.7349    | 0.7114 | 0.7207 |
+| 0.4519        | 5.0   | 610  | 0.4548          | 0.7469   | 0.7169    | 0.7534 | 0.7226 |
+| 0.4356        | 6.0   | 732  | 0.4111          | 0.8145   | 0.7770    | 0.7713 | 0.7740 |
+| 0.421         | 7.0   | 854  | 0.4101          | 0.7945   | 0.7538    | 0.7721 | 0.7612 |
+| 0.4039        | 8.0   | 976  | 0.3829          | 0.8296   | 0.7949    | 0.7919 | 0.7934 |
+| 0.3887        | 9.0   | 1098 | 0.3800          | 0.8321   | 0.7972    | 0.7987 | 0.7979 |
+| 0.3797        | 10.0  | 1220 | 0.3768          | 0.8371   | 0.8044    | 0.7997 | 0.8020 |
+| 0.368         | 11.0  | 1342 | 0.3842          | 0.8221   | 0.7846    | 0.8016 | 0.7918 |
+| 0.3598        | 12.0  | 1464 | 0.3778          | 0.8271   | 0.7902    | 0.8051 | 0.7968 |
+| 0.3548        | 13.0  | 1586 | 0.3624          | 0.8471   | 0.8167    | 0.8118 | 0.8142 |
+| 0.3469        | 14.0  | 1708 | 0.3637          | 0.8446   | 0.8120    | 0.8151 | 0.8135 |
+| 0.3431        | 15.0  | 1830 | 0.3685          | 0.8396   | 0.8049    | 0.8165 | 0.8102 |
+| 0.3275        | 16.0  | 1952 | 0.3664          | 0.8371   | 0.8017    | 0.8172 | 0.8086 |
+| 0.3288        | 17.0  | 2074 | 0.3590          | 0.8396   | 0.8055    | 0.8115 | 0.8084 |
+| 0.3335        | 18.0  | 2196 | 0.3607          | 0.8471   | 0.8138    | 0.8243 | 0.8187 |
+| 0.3239        | 19.0  | 2318 | 0.3613          | 0.8446   | 0.8107    | 0.8226 | 0.8161 |
+| 0.327         | 20.0  | 2440 | 0.3608          | 0.8471   | 0.8138    | 0.8243 | 0.8187 |
+
+
+### 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"
+}

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sentiment-lora/adapter_config.json

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+  "config": {
+    "alpha": 2,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.1,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 2,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "d5b5be297ec0a7b2",
+  "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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