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-r4a2d0.15-0
+  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-r4a2d0.15-0
+
+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: 0.3513
+- Accuracy: 0.8471
+- Precision: 0.8147
+- Recall: 0.8193
+- F1: 0.8169
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5621        | 1.0   | 122  | 0.5100          | 0.7218   | 0.6593    | 0.6482 | 0.6527 |
+| 0.5049        | 2.0   | 244  | 0.4890          | 0.7343   | 0.6945    | 0.7195 | 0.7011 |
+| 0.4776        | 3.0   | 366  | 0.4480          | 0.7594   | 0.7150    | 0.7323 | 0.7216 |
+| 0.4422        | 4.0   | 488  | 0.4104          | 0.7945   | 0.7524    | 0.7446 | 0.7482 |
+| 0.4146        | 5.0   | 610  | 0.4257          | 0.7594   | 0.7202    | 0.7473 | 0.7283 |
+| 0.3828        | 6.0   | 732  | 0.3869          | 0.8246   | 0.7880    | 0.7909 | 0.7894 |
+| 0.3697        | 7.0   | 854  | 0.3959          | 0.8145   | 0.7766    | 0.7988 | 0.7854 |
+| 0.3486        | 8.0   | 976  | 0.3808          | 0.8321   | 0.7961    | 0.8087 | 0.8018 |
+| 0.3437        | 9.0   | 1098 | 0.3738          | 0.8271   | 0.7904    | 0.8001 | 0.7949 |
+| 0.3317        | 10.0  | 1220 | 0.3643          | 0.8471   | 0.8159    | 0.8143 | 0.8151 |
+| 0.3114        | 11.0  | 1342 | 0.3683          | 0.8271   | 0.7902    | 0.8051 | 0.7968 |
+| 0.3035        | 12.0  | 1464 | 0.3660          | 0.8346   | 0.7988    | 0.8155 | 0.8061 |
+| 0.3117        | 13.0  | 1586 | 0.3518          | 0.8471   | 0.8167    | 0.8118 | 0.8142 |
+| 0.3048        | 14.0  | 1708 | 0.3533          | 0.8446   | 0.8115    | 0.8176 | 0.8144 |
+| 0.2916        | 15.0  | 1830 | 0.3570          | 0.8421   | 0.8083    | 0.8158 | 0.8119 |
+| 0.2832        | 16.0  | 1952 | 0.3579          | 0.8471   | 0.8138    | 0.8243 | 0.8187 |
+| 0.284         | 17.0  | 2074 | 0.3496          | 0.8471   | 0.8153    | 0.8168 | 0.8160 |
+| 0.2906        | 18.0  | 2196 | 0.3537          | 0.8446   | 0.8111    | 0.8201 | 0.8153 |
+| 0.2805        | 19.0  | 2318 | 0.3505          | 0.8496   | 0.8186    | 0.8186 | 0.8186 |
+| 0.2815        | 20.0  | 2440 | 0.3513          | 0.8471   | 0.8147    | 0.8193 | 0.8169 |
+
+
+### 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/May17_22-06-40_indolem-petl-vm/events.out.tfevents.1715983605.indolem-petl-vm.1453776.0

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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": 0.15,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 4,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "d658784d9d7679ac",
+  "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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+    "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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