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-r16a2d0.2-0
+  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-r16a2d0.2-0
+
+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: 0.2895
+- Accuracy: 0.8647
+- Precision: 0.8352
+- Recall: 0.8417
+- F1: 0.8383
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5604        | 1.0   | 122  | 0.4996          | 0.7268   | 0.6671    | 0.6592 | 0.6627 |
+| 0.4842        | 2.0   | 244  | 0.4520          | 0.7544   | 0.7169    | 0.7462 | 0.7247 |
+| 0.4079        | 3.0   | 366  | 0.3749          | 0.8321   | 0.7963    | 0.8062 | 0.8009 |
+| 0.3378        | 4.0   | 488  | 0.3624          | 0.8471   | 0.8184    | 0.8068 | 0.8122 |
+| 0.3146        | 5.0   | 610  | 0.3620          | 0.8471   | 0.8130    | 0.8393 | 0.8235 |
+| 0.2935        | 6.0   | 732  | 0.3518          | 0.8496   | 0.8158    | 0.8386 | 0.8253 |
+| 0.2842        | 7.0   | 854  | 0.3307          | 0.8647   | 0.8346    | 0.8442 | 0.8391 |
+| 0.267         | 8.0   | 976  | 0.3191          | 0.8622   | 0.8333    | 0.8350 | 0.8341 |
+| 0.2598        | 9.0   | 1098 | 0.3174          | 0.8672   | 0.8393    | 0.8410 | 0.8402 |
+| 0.2557        | 10.0  | 1220 | 0.3076          | 0.8647   | 0.8367    | 0.8367 | 0.8367 |
+| 0.2341        | 11.0  | 1342 | 0.3144          | 0.8697   | 0.8411    | 0.8478 | 0.8443 |
+| 0.2352        | 12.0  | 1464 | 0.3135          | 0.8672   | 0.8385    | 0.8435 | 0.8409 |
+| 0.2335        | 13.0  | 1586 | 0.3035          | 0.8722   | 0.8445    | 0.8496 | 0.8470 |
+| 0.232         | 14.0  | 1708 | 0.3012          | 0.8697   | 0.8404    | 0.8503 | 0.8451 |
+| 0.221         | 15.0  | 1830 | 0.3050          | 0.8672   | 0.8372    | 0.8485 | 0.8425 |
+| 0.216         | 16.0  | 1952 | 0.3016          | 0.8697   | 0.8399    | 0.8528 | 0.8458 |
+| 0.2096        | 17.0  | 2074 | 0.2881          | 0.8697   | 0.8419    | 0.8453 | 0.8436 |
+| 0.2184        | 18.0  | 2196 | 0.2966          | 0.8697   | 0.8393    | 0.8553 | 0.8465 |
+| 0.2134        | 19.0  | 2318 | 0.2884          | 0.8672   | 0.8385    | 0.8435 | 0.8409 |
+| 0.2077        | 20.0  | 2440 | 0.2895          | 0.8647   | 0.8352    | 0.8417 | 0.8383 |
+
+
+### 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"
+}

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runs/May26_18-15-32_indolem-petl-vm/events.out.tfevents.1716747338.indolem-petl-vm.3030884.0

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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": 0.2,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 16,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "cba6d6babadf8ae3",
+  "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
+  },
+  "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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