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-pl10-4
+  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-pl10-4
+
+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: 0.2951
+- Accuracy: 0.8847
+- Precision: 0.8609
+- Recall: 0.8609
+- F1: 0.8609
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5448        | 1.0   | 122  | 0.5047          | 0.7243   | 0.6629    | 0.6524 | 0.6568 |
+| 0.4527        | 2.0   | 244  | 0.4320          | 0.7945   | 0.7667    | 0.8121 | 0.7752 |
+| 0.3603        | 3.0   | 366  | 0.3370          | 0.8471   | 0.8393    | 0.7768 | 0.7985 |
+| 0.3081        | 4.0   | 488  | 0.2995          | 0.8722   | 0.8453    | 0.8471 | 0.8462 |
+| 0.2793        | 5.0   | 610  | 0.3008          | 0.8747   | 0.8537    | 0.8388 | 0.8457 |
+| 0.2526        | 6.0   | 732  | 0.2987          | 0.8697   | 0.8449    | 0.8378 | 0.8412 |
+| 0.2478        | 7.0   | 854  | 0.3030          | 0.8772   | 0.8609    | 0.8356 | 0.8467 |
+| 0.2337        | 8.0   | 976  | 0.2974          | 0.8672   | 0.8463    | 0.8260 | 0.8351 |
+| 0.217         | 9.0   | 1098 | 0.2774          | 0.8722   | 0.8562    | 0.8271 | 0.8395 |
+| 0.1966        | 10.0  | 1220 | 0.2846          | 0.8697   | 0.8411    | 0.8478 | 0.8443 |
+| 0.199         | 11.0  | 1342 | 0.2910          | 0.8822   | 0.8639    | 0.8467 | 0.8545 |
+| 0.187         | 12.0  | 1464 | 0.2871          | 0.8772   | 0.8609    | 0.8356 | 0.8467 |
+| 0.1812        | 13.0  | 1586 | 0.2813          | 0.8797   | 0.8585    | 0.8474 | 0.8526 |
+| 0.1633        | 14.0  | 1708 | 0.2957          | 0.8822   | 0.8555    | 0.8642 | 0.8596 |
+| 0.1607        | 15.0  | 1830 | 0.2875          | 0.8922   | 0.8706    | 0.8687 | 0.8697 |
+| 0.1584        | 16.0  | 1952 | 0.2859          | 0.8822   | 0.8610    | 0.8517 | 0.8561 |
+| 0.1535        | 17.0  | 2074 | 0.2924          | 0.8847   | 0.8609    | 0.8609 | 0.8609 |
+| 0.1432        | 18.0  | 2196 | 0.2966          | 0.8847   | 0.8599    | 0.8634 | 0.8616 |
+| 0.1466        | 19.0  | 2318 | 0.2947          | 0.8822   | 0.8596    | 0.8542 | 0.8568 |
+| 0.1411        | 20.0  | 2440 | 0.2951          | 0.8847   | 0.8609    | 0.8609 | 0.8609 |
+
+
+### 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_23-02-32_indolem-petl-vm/events.out.tfevents.1716678158.indolem-petl-vm.2505577.0

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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": 10,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "e21f5a7ac06e3fee",
+  "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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