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-r8a0d0.1-1
+  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-r8a0d0.1-1
+
+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: 0.3035
+- Accuracy: 0.8747
+- Precision: 0.8523
+- Recall: 0.8413
+- F1: 0.8465
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5655        | 1.0   | 122  | 0.5179          | 0.7243   | 0.6623    | 0.6499 | 0.6548 |
+| 0.5048        | 2.0   | 244  | 0.4926          | 0.7519   | 0.7079    | 0.7270 | 0.7147 |
+| 0.4529        | 3.0   | 366  | 0.4301          | 0.7995   | 0.7581    | 0.7606 | 0.7593 |
+| 0.393         | 4.0   | 488  | 0.3863          | 0.8221   | 0.7871    | 0.7766 | 0.7814 |
+| 0.3754        | 5.0   | 610  | 0.3868          | 0.8246   | 0.7892    | 0.8209 | 0.8003 |
+| 0.3455        | 6.0   | 732  | 0.3605          | 0.8446   | 0.8126    | 0.8126 | 0.8126 |
+| 0.3344        | 7.0   | 854  | 0.3396          | 0.8546   | 0.8263    | 0.8196 | 0.8229 |
+| 0.3157        | 8.0   | 976  | 0.3319          | 0.8672   | 0.8436    | 0.8310 | 0.8369 |
+| 0.3076        | 9.0   | 1098 | 0.3273          | 0.8546   | 0.8284    | 0.8146 | 0.8210 |
+| 0.2948        | 10.0  | 1220 | 0.3238          | 0.8747   | 0.8552    | 0.8363 | 0.8448 |
+| 0.2737        | 11.0  | 1342 | 0.3199          | 0.8697   | 0.8474    | 0.8328 | 0.8395 |
+| 0.2741        | 12.0  | 1464 | 0.3190          | 0.8596   | 0.8299    | 0.8332 | 0.8315 |
+| 0.275         | 13.0  | 1586 | 0.3146          | 0.8772   | 0.8628    | 0.8331 | 0.8458 |
+| 0.2736        | 14.0  | 1708 | 0.3104          | 0.8697   | 0.8460    | 0.8353 | 0.8404 |
+| 0.263         | 15.0  | 1830 | 0.3112          | 0.8672   | 0.8393    | 0.8410 | 0.8402 |
+| 0.2583        | 16.0  | 1952 | 0.3086          | 0.8722   | 0.8453    | 0.8471 | 0.8462 |
+| 0.2544        | 17.0  | 2074 | 0.3065          | 0.8722   | 0.8512    | 0.8346 | 0.8422 |
+| 0.2594        | 18.0  | 2196 | 0.3056          | 0.8697   | 0.8449    | 0.8378 | 0.8412 |
+| 0.256         | 19.0  | 2318 | 0.3043          | 0.8722   | 0.8512    | 0.8346 | 0.8422 |
+| 0.2515        | 20.0  | 2440 | 0.3035          | 0.8747   | 0.8523    | 0.8413 | 0.8465 |
+
+
+### 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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+    "embedding_size": 768,
+    "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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runs/May19_04-53-09_indolem-petl-vm/events.out.tfevents.1716094393.indolem-petl-vm.2116503.0

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sentiment-lora/adapter_config.json

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+{
+  "config": {
+    "alpha": 0,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
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+    "composition_mode": "add",
+    "dropout": 0.1,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 8,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "9a6df5ed9051a32d",
+  "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
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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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