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-pl30-1
+  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-pl30-1
+
+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: 0.3434
+- Accuracy: 0.8722
+- Precision: 0.8485
+- Recall: 0.8396
+- F1: 0.8438
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5472        | 1.0   | 122  | 0.4993          | 0.7343   | 0.6726    | 0.6245 | 0.6339 |
+| 0.4484        | 2.0   | 244  | 0.4157          | 0.7945   | 0.7655    | 0.8096 | 0.7744 |
+| 0.3338        | 3.0   | 366  | 0.3279          | 0.8596   | 0.8510    | 0.7982 | 0.8179 |
+| 0.2902        | 4.0   | 488  | 0.3037          | 0.8672   | 0.8449    | 0.8285 | 0.8360 |
+| 0.2756        | 5.0   | 610  | 0.2922          | 0.8747   | 0.8499    | 0.8463 | 0.8481 |
+| 0.2514        | 6.0   | 732  | 0.3059          | 0.8672   | 0.8359    | 0.8560 | 0.8446 |
+| 0.2338        | 7.0   | 854  | 0.2970          | 0.8596   | 0.8278    | 0.8432 | 0.8347 |
+| 0.2205        | 8.0   | 976  | 0.2967          | 0.8847   | 0.8784    | 0.8359 | 0.8531 |
+| 0.2153        | 9.0   | 1098 | 0.2982          | 0.8672   | 0.8393    | 0.8410 | 0.8402 |
+| 0.1969        | 10.0  | 1220 | 0.2943          | 0.8672   | 0.8423    | 0.8335 | 0.8377 |
+| 0.185         | 11.0  | 1342 | 0.2973          | 0.8647   | 0.8359    | 0.8392 | 0.8376 |
+| 0.1733        | 12.0  | 1464 | 0.3074          | 0.8672   | 0.8423    | 0.8335 | 0.8377 |
+| 0.1616        | 13.0  | 1586 | 0.3186          | 0.8697   | 0.8460    | 0.8353 | 0.8404 |
+| 0.16          | 14.0  | 1708 | 0.3222          | 0.8596   | 0.8278    | 0.8432 | 0.8347 |
+| 0.1494        | 15.0  | 1830 | 0.3260          | 0.8747   | 0.8523    | 0.8413 | 0.8465 |
+| 0.1501        | 16.0  | 1952 | 0.3233          | 0.8647   | 0.8359    | 0.8392 | 0.8376 |
+| 0.1468        | 17.0  | 2074 | 0.3296          | 0.8672   | 0.8412    | 0.8360 | 0.8385 |
+| 0.1423        | 18.0  | 2196 | 0.3367          | 0.8647   | 0.8398    | 0.8292 | 0.8342 |
+| 0.1327        | 19.0  | 2318 | 0.3395          | 0.8697   | 0.8438    | 0.8403 | 0.8420 |
+| 0.1413        | 20.0  | 2440 | 0.3434          | 0.8722   | 0.8485    | 0.8396 | 0.8438 |
+
+
+### 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/May19_12-48-45_indolem-petl-vm/events.out.tfevents.1716122929.indolem-petl-vm.2309233.0

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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"
+}

sentiment/pytorch_model_head.bin

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