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
+  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
+
+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: 0.3143
+- Accuracy: 0.8622
+- Precision: 0.8333
+- Recall: 0.8350
+- F1: 0.8341
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5637        | 1.0   | 122  | 0.5043          | 0.7193   | 0.6506    | 0.6239 | 0.6312 |
+| 0.5058        | 2.0   | 244  | 0.4905          | 0.7343   | 0.6956    | 0.7220 | 0.7022 |
+| 0.4607        | 3.0   | 366  | 0.4207          | 0.7845   | 0.7425    | 0.7600 | 0.7495 |
+| 0.3992        | 4.0   | 488  | 0.3723          | 0.8496   | 0.8221    | 0.8086 | 0.8148 |
+| 0.3565        | 5.0   | 610  | 0.3855          | 0.8145   | 0.7773    | 0.8038 | 0.7872 |
+| 0.332         | 6.0   | 732  | 0.3689          | 0.8271   | 0.7903    | 0.8076 | 0.7977 |
+| 0.3089        | 7.0   | 854  | 0.3519          | 0.8446   | 0.8132    | 0.8101 | 0.8116 |
+| 0.2979        | 8.0   | 976  | 0.3406          | 0.8571   | 0.8289    | 0.8239 | 0.8264 |
+| 0.2887        | 9.0   | 1098 | 0.3582          | 0.8471   | 0.8132    | 0.8293 | 0.8204 |
+| 0.268         | 10.0  | 1220 | 0.3394          | 0.8622   | 0.8361    | 0.8275 | 0.8316 |
+| 0.267         | 11.0  | 1342 | 0.3339          | 0.8571   | 0.8281    | 0.8264 | 0.8272 |
+| 0.2609        | 12.0  | 1464 | 0.3397          | 0.8622   | 0.8314    | 0.8425 | 0.8365 |
+| 0.2564        | 13.0  | 1586 | 0.3227          | 0.8672   | 0.8436    | 0.8310 | 0.8369 |
+| 0.2566        | 14.0  | 1708 | 0.3246          | 0.8672   | 0.8393    | 0.8410 | 0.8402 |
+| 0.2503        | 15.0  | 1830 | 0.3297          | 0.8722   | 0.8431    | 0.8546 | 0.8484 |
+| 0.2539        | 16.0  | 1952 | 0.3228          | 0.8697   | 0.8404    | 0.8503 | 0.8451 |
+| 0.2478        | 17.0  | 2074 | 0.3142          | 0.8571   | 0.8289    | 0.8239 | 0.8264 |
+| 0.2449        | 18.0  | 2196 | 0.3190          | 0.8722   | 0.8437    | 0.8521 | 0.8477 |
+| 0.2401        | 19.0  | 2318 | 0.3139          | 0.8622   | 0.8333    | 0.8350 | 0.8341 |
+| 0.2392        | 20.0  | 2440 | 0.3143          | 0.8622   | 0.8333    | 0.8350 | 0.8341 |
+
+
+### 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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+{
+  "config": {
+    "activation_function": "gelu",
+    "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/May26_19-46-34_indolem-petl-vm/events.out.tfevents.1716752799.indolem-petl-vm.3071365.0

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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": {
+      "0": 0,
+      "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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