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-pl10-0
+  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-pl10-0
+
+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: 0.2766
+- Accuracy: 0.9023
+- Precision: 0.8802
+- Recall: 0.8858
+- F1: 0.8830
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5459        | 1.0   | 122  | 0.4763          | 0.7393   | 0.6804    | 0.6356 | 0.6459 |
+| 0.4528        | 2.0   | 244  | 0.4306          | 0.7845   | 0.7630    | 0.8125 | 0.7678 |
+| 0.3653        | 3.0   | 366  | 0.3335          | 0.8622   | 0.8533    | 0.8025 | 0.8217 |
+| 0.2987        | 4.0   | 488  | 0.3357          | 0.8546   | 0.8246    | 0.8246 | 0.8246 |
+| 0.2746        | 5.0   | 610  | 0.3401          | 0.8546   | 0.8217    | 0.8547 | 0.8339 |
+| 0.2477        | 6.0   | 732  | 0.3323          | 0.8496   | 0.8176    | 0.8586 | 0.8308 |
+| 0.24          | 7.0   | 854  | 0.3171          | 0.8647   | 0.8325    | 0.8642 | 0.8447 |
+| 0.2069        | 8.0   | 976  | 0.2770          | 0.8922   | 0.8734    | 0.8637 | 0.8683 |
+| 0.2197        | 9.0   | 1098 | 0.3091          | 0.8672   | 0.8356    | 0.8735 | 0.8491 |
+| 0.2005        | 10.0  | 1220 | 0.2552          | 0.9023   | 0.8842    | 0.8783 | 0.8812 |
+| 0.1867        | 11.0  | 1342 | 0.2727          | 0.9048   | 0.8816    | 0.8926 | 0.8868 |
+| 0.1722        | 12.0  | 1464 | 0.2739          | 0.8922   | 0.8657    | 0.8813 | 0.8728 |
+| 0.161         | 13.0  | 1586 | 0.2714          | 0.8997   | 0.8852    | 0.8691 | 0.8765 |
+| 0.1684        | 14.0  | 1708 | 0.2774          | 0.8972   | 0.8723    | 0.8848 | 0.8781 |
+| 0.1548        | 15.0  | 1830 | 0.2742          | 0.8997   | 0.8767    | 0.8841 | 0.8803 |
+| 0.1526        | 16.0  | 1952 | 0.2970          | 0.8872   | 0.8574    | 0.8902 | 0.8703 |
+| 0.1467        | 17.0  | 2074 | 0.2729          | 0.8897   | 0.8618    | 0.8820 | 0.8707 |
+| 0.1484        | 18.0  | 2196 | 0.2739          | 0.8972   | 0.8723    | 0.8848 | 0.8781 |
+| 0.1434        | 19.0  | 2318 | 0.2729          | 0.8997   | 0.8778    | 0.8816 | 0.8797 |
+| 0.1354        | 20.0  | 2440 | 0.2766          | 0.9023   | 0.8802    | 0.8858 | 0.8830 |
+
+
+### 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/May18_04-24-36_indolem-petl-vm/events.out.tfevents.1716006281.indolem-petl-vm.1573584.0

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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": 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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