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-r4a1d0.1-0
+  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-r4a1d0.1-0
+
+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: 0.3483
+- Accuracy: 0.8446
+- Precision: 0.8111
+- Recall: 0.8201
+- F1: 0.8153
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5617        | 1.0   | 122  | 0.5117          | 0.7193   | 0.6580    | 0.6514 | 0.6543 |
+| 0.5046        | 2.0   | 244  | 0.4917          | 0.7419   | 0.7042    | 0.7324 | 0.7112 |
+| 0.4798        | 3.0   | 366  | 0.4466          | 0.7594   | 0.7129    | 0.7248 | 0.7179 |
+| 0.4374        | 4.0   | 488  | 0.3994          | 0.8195   | 0.7866    | 0.7648 | 0.7741 |
+| 0.4037        | 5.0   | 610  | 0.4150          | 0.7845   | 0.7480    | 0.7800 | 0.7575 |
+| 0.3741        | 6.0   | 732  | 0.3737          | 0.8371   | 0.8028    | 0.8072 | 0.8049 |
+| 0.3574        | 7.0   | 854  | 0.3776          | 0.8221   | 0.7845    | 0.7991 | 0.7909 |
+| 0.3387        | 8.0   | 976  | 0.3654          | 0.8446   | 0.8120    | 0.8151 | 0.8135 |
+| 0.3293        | 9.0   | 1098 | 0.3627          | 0.8371   | 0.8021    | 0.8122 | 0.8068 |
+| 0.3209        | 10.0  | 1220 | 0.3553          | 0.8371   | 0.8032    | 0.8047 | 0.8040 |
+| 0.2967        | 11.0  | 1342 | 0.3674          | 0.8346   | 0.7989    | 0.8130 | 0.8052 |
+| 0.2928        | 12.0  | 1464 | 0.3707          | 0.8321   | 0.7960    | 0.8112 | 0.8027 |
+| 0.2967        | 13.0  | 1586 | 0.3514          | 0.8471   | 0.8153    | 0.8168 | 0.8160 |
+| 0.2934        | 14.0  | 1708 | 0.3507          | 0.8421   | 0.8083    | 0.8158 | 0.8119 |
+| 0.2811        | 15.0  | 1830 | 0.3553          | 0.8346   | 0.7991    | 0.8105 | 0.8043 |
+| 0.2738        | 16.0  | 1952 | 0.3555          | 0.8421   | 0.8077    | 0.8208 | 0.8136 |
+| 0.2717        | 17.0  | 2074 | 0.3468          | 0.8496   | 0.8174    | 0.8236 | 0.8204 |
+| 0.278         | 18.0  | 2196 | 0.3510          | 0.8421   | 0.8080    | 0.8183 | 0.8127 |
+| 0.2701        | 19.0  | 2318 | 0.3471          | 0.8471   | 0.8142    | 0.8218 | 0.8178 |
+| 0.2722        | 20.0  | 2440 | 0.3483          | 0.8446   | 0.8111    | 0.8201 | 0.8153 |
+
+
+### 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/May17_19-52-58_indolem-petl-vm/events.out.tfevents.1715975583.indolem-petl-vm.1408004.0

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sentiment-lora/adapter_config.json

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+{
+  "config": {
+    "alpha": 1,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.1,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 4,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "10bd443306cd2e68",
+  "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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