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-r8a2d0.05-0
+  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-r8a2d0.05-0
+
+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: 0.3260
+- Accuracy: 0.8622
+- Precision: 0.8319
+- Recall: 0.8400
+- F1: 0.8357
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5609        | 1.0   | 122  | 0.5086          | 0.7193   | 0.6580    | 0.6514 | 0.6543 |
+| 0.4986        | 2.0   | 244  | 0.4855          | 0.7494   | 0.7127    | 0.7427 | 0.7201 |
+| 0.4593        | 3.0   | 366  | 0.4238          | 0.7694   | 0.7249    | 0.7394 | 0.7309 |
+| 0.3957        | 4.0   | 488  | 0.3916          | 0.8070   | 0.7670    | 0.7735 | 0.7700 |
+| 0.3658        | 5.0   | 610  | 0.4266          | 0.7995   | 0.7641    | 0.7981 | 0.7744 |
+| 0.3345        | 6.0   | 732  | 0.3666          | 0.8371   | 0.8028    | 0.8072 | 0.8049 |
+| 0.3237        | 7.0   | 854  | 0.3714          | 0.8396   | 0.8045    | 0.8265 | 0.8136 |
+| 0.304         | 8.0   | 976  | 0.3537          | 0.8421   | 0.8083    | 0.8158 | 0.8119 |
+| 0.3027        | 9.0   | 1098 | 0.3531          | 0.8446   | 0.8111    | 0.8201 | 0.8153 |
+| 0.2962        | 10.0  | 1220 | 0.3382          | 0.8521   | 0.8220    | 0.8204 | 0.8212 |
+| 0.2721        | 11.0  | 1342 | 0.3490          | 0.8496   | 0.8162    | 0.8311 | 0.8229 |
+| 0.2693        | 12.0  | 1464 | 0.3502          | 0.8546   | 0.8220    | 0.8372 | 0.8288 |
+| 0.2745        | 13.0  | 1586 | 0.3284          | 0.8571   | 0.8289    | 0.8239 | 0.8264 |
+| 0.2712        | 14.0  | 1708 | 0.3297          | 0.8596   | 0.8299    | 0.8332 | 0.8315 |
+| 0.256         | 15.0  | 1830 | 0.3357          | 0.8647   | 0.8346    | 0.8442 | 0.8391 |
+| 0.2504        | 16.0  | 1952 | 0.3346          | 0.8571   | 0.8255    | 0.8364 | 0.8306 |
+| 0.2487        | 17.0  | 2074 | 0.3242          | 0.8571   | 0.8281    | 0.8264 | 0.8272 |
+| 0.2514        | 18.0  | 2196 | 0.3309          | 0.8622   | 0.8314    | 0.8425 | 0.8365 |
+| 0.2451        | 19.0  | 2318 | 0.3243          | 0.8622   | 0.8333    | 0.8350 | 0.8341 |
+| 0.2461        | 20.0  | 2440 | 0.3260          | 0.8622   | 0.8319    | 0.8400 | 0.8357 |
+
+
+### 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/May18_02-01-01_indolem-petl-vm/events.out.tfevents.1715997666.indolem-petl-vm.1524806.0

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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": 0.05,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 8,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "165f80801e11b1ab",
+  "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": {
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+      "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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