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-r2a2d0.1-1
+  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-r2a2d0.1-1
+
+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: 0.3681
+- Accuracy: 0.8396
+- Precision: 0.8141
+- Recall: 0.7865
+- F1: 0.7980
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.566         | 1.0   | 122  | 0.5211          | 0.7168   | 0.6521    | 0.6396 | 0.6444 |
+| 0.5148        | 2.0   | 244  | 0.5169          | 0.7243   | 0.6791    | 0.6974 | 0.6850 |
+| 0.4927        | 3.0   | 366  | 0.4861          | 0.7544   | 0.7017    | 0.6887 | 0.6942 |
+| 0.4627        | 4.0   | 488  | 0.4656          | 0.7619   | 0.7120    | 0.7065 | 0.7091 |
+| 0.4504        | 5.0   | 610  | 0.4611          | 0.7544   | 0.7120    | 0.7337 | 0.7193 |
+| 0.4276        | 6.0   | 732  | 0.4303          | 0.7895   | 0.7461    | 0.7410 | 0.7434 |
+| 0.4176        | 7.0   | 854  | 0.4163          | 0.7945   | 0.7521    | 0.7546 | 0.7533 |
+| 0.397         | 8.0   | 976  | 0.3960          | 0.8170   | 0.7814    | 0.7680 | 0.7741 |
+| 0.3904        | 9.0   | 1098 | 0.3940          | 0.8271   | 0.7969    | 0.7726 | 0.7829 |
+| 0.3743        | 10.0  | 1220 | 0.3900          | 0.8271   | 0.7994    | 0.7676 | 0.7804 |
+| 0.3632        | 11.0  | 1342 | 0.3848          | 0.8346   | 0.8062    | 0.7830 | 0.7929 |
+| 0.3599        | 12.0  | 1464 | 0.3795          | 0.8271   | 0.7959    | 0.7751 | 0.7841 |
+| 0.3597        | 13.0  | 1586 | 0.3765          | 0.8346   | 0.8136    | 0.7705 | 0.7867 |
+| 0.3461        | 14.0  | 1708 | 0.3729          | 0.8321   | 0.8061    | 0.7737 | 0.7867 |
+| 0.3432        | 15.0  | 1830 | 0.3714          | 0.8371   | 0.8101    | 0.7847 | 0.7955 |
+| 0.333         | 16.0  | 1952 | 0.3706          | 0.8421   | 0.8181    | 0.7883 | 0.8006 |
+| 0.3323        | 17.0  | 2074 | 0.3700          | 0.8396   | 0.8155    | 0.7840 | 0.7969 |
+| 0.3337        | 18.0  | 2196 | 0.3687          | 0.8396   | 0.8141    | 0.7865 | 0.7980 |
+| 0.3298        | 19.0  | 2318 | 0.3684          | 0.8396   | 0.8141    | 0.7865 | 0.7980 |
+| 0.3309        | 20.0  | 2440 | 0.3681          | 0.8396   | 0.8141    | 0.7865 | 0.7980 |
+
+
+### 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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+    "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/May18_22-11-46_indolem-petl-vm/events.out.tfevents.1716070311.indolem-petl-vm.1968809.0

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sentiment-lora/adapter_config.json

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+  "config": {
+    "alpha": 2,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.1,
+    "init_weights": "lora",
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+    "leave_out": [],
+    "output_lora": false,
+    "r": 2,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "d5b5be297ec0a7b2",
+  "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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