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-r16-0
+  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-r16-0
+
+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: 0.3046
+- Accuracy: 0.8672
+- Precision: 0.8385
+- Recall: 0.8435
+- F1: 0.8409
+
+## 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  | 0.4974          | 0.7168   | 0.6466    | 0.6196 | 0.6267 |
+| 0.4834        | 2.0   | 244  | 0.4640          | 0.7569   | 0.7260    | 0.7630 | 0.7327 |
+| 0.4095        | 3.0   | 366  | 0.3775          | 0.8296   | 0.7937    | 0.7994 | 0.7964 |
+| 0.339         | 4.0   | 488  | 0.3585          | 0.8446   | 0.8120    | 0.8151 | 0.8135 |
+| 0.3189        | 5.0   | 610  | 0.3868          | 0.8296   | 0.7951    | 0.8294 | 0.8068 |
+| 0.2953        | 6.0   | 732  | 0.3580          | 0.8496   | 0.8158    | 0.8436 | 0.8267 |
+| 0.2737        | 7.0   | 854  | 0.3384          | 0.8571   | 0.8260    | 0.8339 | 0.8298 |
+| 0.2691        | 8.0   | 976  | 0.3253          | 0.8647   | 0.8472    | 0.8167 | 0.8296 |
+| 0.2496        | 9.0   | 1098 | 0.3504          | 0.8596   | 0.8278    | 0.8432 | 0.8347 |
+| 0.2457        | 10.0  | 1220 | 0.3211          | 0.8596   | 0.8316    | 0.8282 | 0.8298 |
+| 0.2386        | 11.0  | 1342 | 0.3201          | 0.8647   | 0.8387    | 0.8317 | 0.8351 |
+| 0.2377        | 12.0  | 1464 | 0.3218          | 0.8672   | 0.8378    | 0.8460 | 0.8417 |
+| 0.2277        | 13.0  | 1586 | 0.3138          | 0.8672   | 0.8393    | 0.8410 | 0.8402 |
+| 0.2276        | 14.0  | 1708 | 0.3163          | 0.8647   | 0.8352    | 0.8417 | 0.8383 |
+| 0.2271        | 15.0  | 1830 | 0.3158          | 0.8697   | 0.8399    | 0.8528 | 0.8458 |
+| 0.2086        | 16.0  | 1952 | 0.3202          | 0.8647   | 0.8332    | 0.8517 | 0.8413 |
+| 0.2151        | 17.0  | 2074 | 0.3024          | 0.8747   | 0.8510    | 0.8438 | 0.8473 |
+| 0.2206        | 18.0  | 2196 | 0.3133          | 0.8672   | 0.8363    | 0.8535 | 0.8439 |
+| 0.2044        | 19.0  | 2318 | 0.3063          | 0.8672   | 0.8378    | 0.8460 | 0.8417 |
+| 0.2074        | 20.0  | 2440 | 0.3046          | 0.8672   | 0.8385    | 0.8435 | 0.8409 |
+
+
+### 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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+    "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/Jun03_11-09-45_a358b85c7679/events.out.tfevents.1717412995.a358b85c7679.45747.0

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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": 16,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "141b248112091265",
+  "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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