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-pt-pl5-4
+  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-pt-pl5-4
+
+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: 0.3030
+- Accuracy: 0.8847
+- Precision: 0.8589
+- Recall: 0.8659
+- F1: 0.8623
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5491        | 1.0   | 122  | 0.5238          | 0.7118   | 0.6569    | 0.6636 | 0.6598 |
+| 0.467         | 2.0   | 244  | 0.4078          | 0.7895   | 0.7486    | 0.7685 | 0.7564 |
+| 0.3738        | 3.0   | 366  | 0.3612          | 0.8496   | 0.8538    | 0.7711 | 0.7971 |
+| 0.321         | 4.0   | 488  | 0.3049          | 0.8596   | 0.8406    | 0.8107 | 0.8233 |
+| 0.2799        | 5.0   | 610  | 0.2869          | 0.8772   | 0.8693    | 0.8256 | 0.8431 |
+| 0.2619        | 6.0   | 732  | 0.2957          | 0.8747   | 0.8523    | 0.8413 | 0.8465 |
+| 0.2475        | 7.0   | 854  | 0.2894          | 0.8722   | 0.8528    | 0.8321 | 0.8413 |
+| 0.2336        | 8.0   | 976  | 0.3088          | 0.8596   | 0.8374    | 0.8157 | 0.8253 |
+| 0.2233        | 9.0   | 1098 | 0.2827          | 0.8772   | 0.8561    | 0.8431 | 0.8492 |
+| 0.2053        | 10.0  | 1220 | 0.2771          | 0.8897   | 0.8659    | 0.8695 | 0.8676 |
+| 0.1926        | 11.0  | 1342 | 0.2792          | 0.8847   | 0.8573    | 0.8709 | 0.8636 |
+| 0.1837        | 12.0  | 1464 | 0.2857          | 0.8872   | 0.8687    | 0.8552 | 0.8615 |
+| 0.1748        | 13.0  | 1586 | 0.2900          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.1664        | 14.0  | 1708 | 0.3100          | 0.8872   | 0.8587    | 0.8802 | 0.8681 |
+| 0.1575        | 15.0  | 1830 | 0.3073          | 0.8872   | 0.8593    | 0.8777 | 0.8675 |
+| 0.1553        | 16.0  | 1952 | 0.3023          | 0.8972   | 0.8781    | 0.8723 | 0.8751 |
+| 0.1439        | 17.0  | 2074 | 0.3054          | 0.8847   | 0.8581    | 0.8684 | 0.8629 |
+| 0.1509        | 18.0  | 2196 | 0.3081          | 0.8847   | 0.8599    | 0.8634 | 0.8616 |
+| 0.1489        | 19.0  | 2318 | 0.3018          | 0.8897   | 0.8670    | 0.8670 | 0.8670 |
+| 0.146         | 20.0  | 2440 | 0.3030          | 0.8847   | 0.8589    | 0.8659 | 0.8623 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter-sentiment/adapter_config.json

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+    "bottleneck_size": 512,
+    "cross_prefix": true,
+    "dropout": 0.0,
+    "encoder_prefix": true,
+    "flat": false,
+    "leave_out": [],
+    "non_linearity": "tanh",
+    "prefix_length": 5,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "25a1b954cd3b867c",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "adapter-sentiment",
+  "version": "0.2.2"
+}

adapter-sentiment/pytorch_adapter.bin

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default/head_config.json

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+  "config": {
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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": "0.2.2"
+}

default/pytorch_model_head.bin

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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
+    },
+    "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": "0.2.2"
+}

sentiment/pytorch_model_head.bin

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