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-pl20-3
+  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-pl20-3
+
+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: 0.3253
+- Accuracy: 0.8822
+- Precision: 0.8564
+- Recall: 0.8617
+- F1: 0.8590
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5445        | 1.0   | 122  | 0.4894          | 0.7519   | 0.6988    | 0.6594 | 0.6708 |
+| 0.432         | 2.0   | 244  | 0.3691          | 0.8195   | 0.7843    | 0.8173 | 0.7954 |
+| 0.3342        | 3.0   | 366  | 0.3301          | 0.8496   | 0.8574    | 0.7686 | 0.7957 |
+| 0.2846        | 4.0   | 488  | 0.2886          | 0.8797   | 0.8633    | 0.8399 | 0.8502 |
+| 0.2621        | 5.0   | 610  | 0.2728          | 0.8747   | 0.8488    | 0.8488 | 0.8488 |
+| 0.2419        | 6.0   | 732  | 0.2753          | 0.8747   | 0.8471    | 0.8538 | 0.8503 |
+| 0.2132        | 7.0   | 854  | 0.2753          | 0.8847   | 0.8589    | 0.8659 | 0.8623 |
+| 0.2055        | 8.0   | 976  | 0.2791          | 0.8797   | 0.8560    | 0.8524 | 0.8541 |
+| 0.1903        | 9.0   | 1098 | 0.3009          | 0.8622   | 0.8373    | 0.8250 | 0.8307 |
+| 0.1852        | 10.0  | 1220 | 0.3085          | 0.8672   | 0.8479    | 0.8235 | 0.8342 |
+| 0.1758        | 11.0  | 1342 | 0.2852          | 0.8797   | 0.8539    | 0.8574 | 0.8556 |
+| 0.1617        | 12.0  | 1464 | 0.3011          | 0.8872   | 0.8634    | 0.8652 | 0.8643 |
+| 0.1581        | 13.0  | 1586 | 0.3050          | 0.8922   | 0.8694    | 0.8712 | 0.8703 |
+| 0.149         | 14.0  | 1708 | 0.3143          | 0.8922   | 0.8639    | 0.8888 | 0.8745 |
+| 0.1386        | 15.0  | 1830 | 0.3028          | 0.8997   | 0.8791    | 0.8791 | 0.8791 |
+| 0.1465        | 16.0  | 1952 | 0.3112          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.1307        | 17.0  | 2074 | 0.3198          | 0.8847   | 0.8581    | 0.8684 | 0.8629 |
+| 0.1231        | 18.0  | 2196 | 0.3253          | 0.8847   | 0.8609    | 0.8609 | 0.8609 |
+| 0.1344        | 19.0  | 2318 | 0.3290          | 0.8797   | 0.8560    | 0.8524 | 0.8541 |
+| 0.1229        | 20.0  | 2440 | 0.3253          | 0.8822   | 0.8564    | 0.8617 | 0.8590 |
+
+
+### 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/May25_21-56-03_indolem-petl-vm/events.out.tfevents.1716674169.indolem-petl-vm.2477909.0

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sentiment-pt/adapter_config.json

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+  "config": {
+    "architecture": "prefix_tuning",
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+    "cross_prefix": true,
+    "dropout": 0.0,
+    "encoder_prefix": true,
+    "flat": false,
+    "leave_out": [],
+    "non_linearity": "tanh",
+    "prefix_length": 20,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "a62560183dec11a0",
+  "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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