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-r8-4
+  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-r8-4
+
+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: 0.2847
+- Accuracy: 0.8672
+- Precision: 0.8423
+- Recall: 0.8335
+- F1: 0.8377
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5577        | 1.0   | 122  | 0.5372          | 0.7193   | 0.6692    | 0.6814 | 0.6738 |
+| 0.5012        | 2.0   | 244  | 0.4771          | 0.7669   | 0.7370    | 0.6501 | 0.6651 |
+| 0.4626        | 3.0   | 366  | 0.4250          | 0.8070   | 0.7756    | 0.7360 | 0.7504 |
+| 0.4055        | 4.0   | 488  | 0.3896          | 0.8346   | 0.7996    | 0.8055 | 0.8024 |
+| 0.3709        | 5.0   | 610  | 0.3578          | 0.8296   | 0.7961    | 0.7869 | 0.7912 |
+| 0.3385        | 6.0   | 732  | 0.3523          | 0.8371   | 0.8017    | 0.8172 | 0.8086 |
+| 0.3276        | 7.0   | 854  | 0.3307          | 0.8521   | 0.8271    | 0.8079 | 0.8164 |
+| 0.3133        | 8.0   | 976  | 0.3256          | 0.8571   | 0.8381    | 0.8064 | 0.8196 |
+| 0.3039        | 9.0   | 1098 | 0.3282          | 0.8647   | 0.8491    | 0.8142 | 0.8286 |
+| 0.2831        | 10.0  | 1220 | 0.3142          | 0.8596   | 0.8316    | 0.8282 | 0.8298 |
+| 0.2798        | 11.0  | 1342 | 0.3034          | 0.8747   | 0.8523    | 0.8413 | 0.8465 |
+| 0.269         | 12.0  | 1464 | 0.3002          | 0.8672   | 0.8479    | 0.8235 | 0.8342 |
+| 0.2699        | 13.0  | 1586 | 0.2973          | 0.8697   | 0.8428    | 0.8428 | 0.8428 |
+| 0.2657        | 14.0  | 1708 | 0.2985          | 0.8722   | 0.8445    | 0.8496 | 0.8470 |
+| 0.2537        | 15.0  | 1830 | 0.2886          | 0.8672   | 0.8423    | 0.8335 | 0.8377 |
+| 0.2529        | 16.0  | 1952 | 0.2878          | 0.8647   | 0.8387    | 0.8317 | 0.8351 |
+| 0.2565        | 17.0  | 2074 | 0.2877          | 0.8722   | 0.8463    | 0.8446 | 0.8454 |
+| 0.2514        | 18.0  | 2196 | 0.2857          | 0.8672   | 0.8412    | 0.8360 | 0.8385 |
+| 0.2517        | 19.0  | 2318 | 0.2844          | 0.8697   | 0.8438    | 0.8403 | 0.8420 |
+| 0.2512        | 20.0  | 2440 | 0.2847          | 0.8672   | 0.8423    | 0.8335 | 0.8377 |
+
+
+### 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"
+}

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,
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+    "head_type": "classification",
+    "label2id": {
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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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