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-pl30-3
+  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-pl30-3
+
+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: 0.2943
+- Accuracy: 0.8922
+- Precision: 0.8706
+- Recall: 0.8687
+- F1: 0.8697
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5452        | 1.0   | 122  | 0.4919          | 0.7469   | 0.6922    | 0.6459 | 0.6573 |
+| 0.4299        | 2.0   | 244  | 0.4071          | 0.8070   | 0.7802    | 0.8285 | 0.7892 |
+| 0.3291        | 3.0   | 366  | 0.3091          | 0.8672   | 0.8412    | 0.8360 | 0.8385 |
+| 0.2887        | 4.0   | 488  | 0.3033          | 0.8521   | 0.8237    | 0.8154 | 0.8193 |
+| 0.2579        | 5.0   | 610  | 0.2880          | 0.8647   | 0.8340    | 0.8467 | 0.8399 |
+| 0.232         | 6.0   | 732  | 0.2919          | 0.8747   | 0.8443    | 0.8663 | 0.8537 |
+| 0.2181        | 7.0   | 854  | 0.2797          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+| 0.2114        | 8.0   | 976  | 0.2828          | 0.8747   | 0.8488    | 0.8488 | 0.8488 |
+| 0.199         | 9.0   | 1098 | 0.2835          | 0.8797   | 0.8522    | 0.8624 | 0.8570 |
+| 0.189         | 10.0  | 1220 | 0.2816          | 0.8772   | 0.8547    | 0.8456 | 0.8500 |
+| 0.1738        | 11.0  | 1342 | 0.2905          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+| 0.1688        | 12.0  | 1464 | 0.3152          | 0.8822   | 0.8674    | 0.8417 | 0.8529 |
+| 0.1655        | 13.0  | 1586 | 0.2901          | 0.8697   | 0.8449    | 0.8378 | 0.8412 |
+| 0.1467        | 14.0  | 1708 | 0.2955          | 0.8797   | 0.8515    | 0.8649 | 0.8577 |
+| 0.1442        | 15.0  | 1830 | 0.2866          | 0.8822   | 0.8564    | 0.8617 | 0.8590 |
+| 0.1419        | 16.0  | 1952 | 0.2902          | 0.8847   | 0.8599    | 0.8634 | 0.8616 |
+| 0.1416        | 17.0  | 2074 | 0.2898          | 0.8897   | 0.8659    | 0.8695 | 0.8676 |
+| 0.1389        | 18.0  | 2196 | 0.2956          | 0.8872   | 0.8658    | 0.8602 | 0.8629 |
+| 0.1401        | 19.0  | 2318 | 0.2937          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.1348        | 20.0  | 2440 | 0.2943          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+
+
+### 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_22-29-07_indolem-petl-vm/events.out.tfevents.1716676153.indolem-petl-vm.2491689.0

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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": 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"
+}

sentiment/pytorch_model_head.bin

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