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-pl30-4
+  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-pl30-4
+
+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: 0.3072
+- Accuracy: 0.8822
+- Precision: 0.8574
+- Recall: 0.8592
+- F1: 0.8583
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5438        | 1.0   | 122  | 0.4988          | 0.7218   | 0.6601    | 0.6507 | 0.6546 |
+| 0.4428        | 2.0   | 244  | 0.3788          | 0.8446   | 0.8107    | 0.8226 | 0.8161 |
+| 0.3441        | 3.0   | 366  | 0.3289          | 0.8596   | 0.8510    | 0.7982 | 0.8179 |
+| 0.2986        | 4.0   | 488  | 0.2884          | 0.8797   | 0.8572    | 0.8499 | 0.8534 |
+| 0.2667        | 5.0   | 610  | 0.2698          | 0.8772   | 0.8535    | 0.8481 | 0.8507 |
+| 0.2524        | 6.0   | 732  | 0.2723          | 0.8847   | 0.8609    | 0.8609 | 0.8609 |
+| 0.2343        | 7.0   | 854  | 0.3180          | 0.8647   | 0.8533    | 0.8092 | 0.8266 |
+| 0.2212        | 8.0   | 976  | 0.2949          | 0.8822   | 0.8674    | 0.8417 | 0.8529 |
+| 0.2142        | 9.0   | 1098 | 0.2828          | 0.8847   | 0.8697    | 0.8459 | 0.8565 |
+| 0.1958        | 10.0  | 1220 | 0.2887          | 0.8697   | 0.8399    | 0.8528 | 0.8458 |
+| 0.1855        | 11.0  | 1342 | 0.2868          | 0.8822   | 0.8548    | 0.8667 | 0.8603 |
+| 0.1742        | 12.0  | 1464 | 0.2981          | 0.8747   | 0.8552    | 0.8363 | 0.8448 |
+| 0.1601        | 13.0  | 1586 | 0.2930          | 0.8797   | 0.8539    | 0.8574 | 0.8556 |
+| 0.1602        | 14.0  | 1708 | 0.2979          | 0.8797   | 0.8504    | 0.8699 | 0.8590 |
+| 0.1497        | 15.0  | 1830 | 0.2969          | 0.8872   | 0.8606    | 0.8727 | 0.8662 |
+| 0.1447        | 16.0  | 1952 | 0.2963          | 0.8847   | 0.8599    | 0.8634 | 0.8616 |
+| 0.1394        | 17.0  | 2074 | 0.3018          | 0.8822   | 0.8564    | 0.8617 | 0.8590 |
+| 0.1333        | 18.0  | 2196 | 0.3065          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+| 0.1406        | 19.0  | 2318 | 0.3062          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+| 0.1243        | 20.0  | 2440 | 0.3072          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+
+
+### 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/May26_00-08-19_indolem-petl-vm/events.out.tfevents.1716682105.indolem-petl-vm.2543525.0

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sentiment-pt/adapter_config.json

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+  "config": {
+    "architecture": "prefix_tuning",
+    "bottleneck_size": 512,
+    "cross_prefix": true,
+    "dropout": 0.0,
+    "encoder_prefix": true,
+    "flat": false,
+    "leave_out": [],
+    "non_linearity": "tanh",
+    "prefix_length": 30,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "648bf22f5afeaaa6",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment-pt",
+  "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": {
+      "0": 0,
+      "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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