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-r8-0
+  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-r8-0
+
+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: 0.3235
+- Accuracy: 0.8596
+- Precision: 0.8307
+- Recall: 0.8307
+- F1: 0.8307
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5593        | 1.0   | 122  | 0.4990          | 0.7243   | 0.6593    | 0.6374 | 0.6446 |
+| 0.4939        | 2.0   | 244  | 0.4696          | 0.7619   | 0.7265    | 0.7590 | 0.7346 |
+| 0.4469        | 3.0   | 366  | 0.4036          | 0.8070   | 0.7670    | 0.7760 | 0.7711 |
+| 0.3781        | 4.0   | 488  | 0.3748          | 0.8195   | 0.7827    | 0.7798 | 0.7812 |
+| 0.3532        | 5.0   | 610  | 0.4110          | 0.8045   | 0.7687    | 0.8017 | 0.7792 |
+| 0.3273        | 6.0   | 732  | 0.3612          | 0.8321   | 0.7960    | 0.8137 | 0.8036 |
+| 0.3098        | 7.0   | 854  | 0.3552          | 0.8371   | 0.8017    | 0.8197 | 0.8094 |
+| 0.2953        | 8.0   | 976  | 0.3438          | 0.8546   | 0.8239    | 0.8272 | 0.8255 |
+| 0.28          | 9.0   | 1098 | 0.3590          | 0.8446   | 0.8102    | 0.8301 | 0.8186 |
+| 0.2701        | 10.0  | 1220 | 0.3354          | 0.8571   | 0.8299    | 0.8214 | 0.8255 |
+| 0.2694        | 11.0  | 1342 | 0.3366          | 0.8571   | 0.8281    | 0.8264 | 0.8272 |
+| 0.2657        | 12.0  | 1464 | 0.3378          | 0.8596   | 0.8287    | 0.8382 | 0.8332 |
+| 0.2603        | 13.0  | 1586 | 0.3295          | 0.8647   | 0.8377    | 0.8342 | 0.8359 |
+| 0.2564        | 14.0  | 1708 | 0.3318          | 0.8596   | 0.8299    | 0.8332 | 0.8315 |
+| 0.2583        | 15.0  | 1830 | 0.3291          | 0.8596   | 0.8299    | 0.8332 | 0.8315 |
+| 0.2438        | 16.0  | 1952 | 0.3323          | 0.8571   | 0.8260    | 0.8339 | 0.8298 |
+| 0.2465        | 17.0  | 2074 | 0.3225          | 0.8546   | 0.8273    | 0.8171 | 0.8219 |
+| 0.2494        | 18.0  | 2196 | 0.3292          | 0.8571   | 0.8266    | 0.8314 | 0.8289 |
+| 0.2382        | 19.0  | 2318 | 0.3246          | 0.8571   | 0.8273    | 0.8289 | 0.8281 |
+| 0.236         | 20.0  | 2440 | 0.3235          | 0.8596   | 0.8307    | 0.8307 | 0.8307 |
+
+
+### 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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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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+    "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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