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-r8a0d0.15-1
+  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-r8a0d0.15-1
+
+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: 0.3168
+- Accuracy: 0.8722
+- Precision: 0.8528
+- Recall: 0.8321
+- F1: 0.8413
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5647        | 1.0   | 122  | 0.5166          | 0.7068   | 0.6380    | 0.6250 | 0.6297 |
+| 0.5067        | 2.0   | 244  | 0.4954          | 0.7343   | 0.6870    | 0.7020 | 0.6926 |
+| 0.4617        | 3.0   | 366  | 0.4391          | 0.7920   | 0.7491    | 0.7503 | 0.7497 |
+| 0.4044        | 4.0   | 488  | 0.3911          | 0.8145   | 0.7761    | 0.7788 | 0.7774 |
+| 0.382         | 5.0   | 610  | 0.3827          | 0.8195   | 0.7849    | 0.8198 | 0.7962 |
+| 0.3494        | 6.0   | 732  | 0.3528          | 0.8421   | 0.8092    | 0.8108 | 0.8100 |
+| 0.3423        | 7.0   | 854  | 0.3442          | 0.8546   | 0.8239    | 0.8272 | 0.8255 |
+| 0.33          | 8.0   | 976  | 0.3400          | 0.8672   | 0.8479    | 0.8235 | 0.8342 |
+| 0.3296        | 9.0   | 1098 | 0.3349          | 0.8496   | 0.8245    | 0.8036 | 0.8128 |
+| 0.3074        | 10.0  | 1220 | 0.3349          | 0.8622   | 0.8467    | 0.8100 | 0.8249 |
+| 0.2911        | 11.0  | 1342 | 0.3240          | 0.8697   | 0.8503    | 0.8278 | 0.8377 |
+| 0.2855        | 12.0  | 1464 | 0.3273          | 0.8722   | 0.8463    | 0.8446 | 0.8454 |
+| 0.2903        | 13.0  | 1586 | 0.3285          | 0.8647   | 0.8472    | 0.8167 | 0.8296 |
+| 0.2896        | 14.0  | 1708 | 0.3254          | 0.8672   | 0.8479    | 0.8235 | 0.8342 |
+| 0.2744        | 15.0  | 1830 | 0.3241          | 0.8647   | 0.8377    | 0.8342 | 0.8359 |
+| 0.2691        | 16.0  | 1952 | 0.3210          | 0.8571   | 0.8289    | 0.8239 | 0.8264 |
+| 0.2671        | 17.0  | 2074 | 0.3208          | 0.8697   | 0.8503    | 0.8278 | 0.8377 |
+| 0.2736        | 18.0  | 2196 | 0.3179          | 0.8722   | 0.8512    | 0.8346 | 0.8422 |
+| 0.2662        | 19.0  | 2318 | 0.3180          | 0.8722   | 0.8544    | 0.8296 | 0.8404 |
+| 0.2664        | 20.0  | 2440 | 0.3168          | 0.8722   | 0.8528    | 0.8321 | 0.8413 |
+
+
+### 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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+    "activation_function": "gelu",
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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"
+}

default/pytorch_model_head.bin

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runs/May19_05-26-31_indolem-petl-vm/events.out.tfevents.1716096396.indolem-petl-vm.2128742.0

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sentiment-lora/adapter_config.json

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+  "config": {
+    "alpha": 0,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.15,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 8,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "c75f72d9b053e5c8",
+  "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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