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-pl20-0
+  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-pl20-0
+
+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: 0.2809
+- Accuracy: 0.9023
+- Precision: 0.8758
+- Recall: 0.8983
+- F1: 0.8857
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5417        | 1.0   | 122  | 0.4692          | 0.7368   | 0.6763    | 0.6438 | 0.6531 |
+| 0.4301        | 2.0   | 244  | 0.4378          | 0.7769   | 0.7547    | 0.8022 | 0.7593 |
+| 0.3347        | 3.0   | 366  | 0.3451          | 0.8446   | 0.8158    | 0.8026 | 0.8086 |
+| 0.2954        | 4.0   | 488  | 0.3337          | 0.8647   | 0.8377    | 0.8342 | 0.8359 |
+| 0.2632        | 5.0   | 610  | 0.3356          | 0.8571   | 0.8248    | 0.8414 | 0.8321 |
+| 0.2492        | 6.0   | 732  | 0.3261          | 0.8446   | 0.8110    | 0.8451 | 0.8231 |
+| 0.227         | 7.0   | 854  | 0.2978          | 0.8797   | 0.8496    | 0.8749 | 0.8602 |
+| 0.2189        | 8.0   | 976  | 0.2742          | 0.8947   | 0.8789    | 0.8630 | 0.8704 |
+| 0.2068        | 9.0   | 1098 | 0.2875          | 0.8922   | 0.8673    | 0.8763 | 0.8716 |
+| 0.1935        | 10.0  | 1220 | 0.2693          | 0.9073   | 0.8904    | 0.8844 | 0.8873 |
+| 0.1729        | 11.0  | 1342 | 0.2715          | 0.9073   | 0.8840    | 0.8969 | 0.8900 |
+| 0.1639        | 12.0  | 1464 | 0.2755          | 0.8997   | 0.8733    | 0.8941 | 0.8825 |
+| 0.1564        | 13.0  | 1586 | 0.2662          | 0.9023   | 0.8828    | 0.8808 | 0.8818 |
+| 0.1495        | 14.0  | 1708 | 0.2973          | 0.8997   | 0.8722    | 0.8991 | 0.8835 |
+| 0.1487        | 15.0  | 1830 | 0.2732          | 0.9098   | 0.8865    | 0.9012 | 0.8932 |
+| 0.141         | 16.0  | 1952 | 0.2842          | 0.9048   | 0.8784    | 0.9026 | 0.8888 |
+| 0.1276        | 17.0  | 2074 | 0.2794          | 0.9048   | 0.8798    | 0.8976 | 0.8878 |
+| 0.1383        | 18.0  | 2196 | 0.2787          | 0.9073   | 0.8823    | 0.9019 | 0.8910 |
+| 0.1371        | 19.0  | 2318 | 0.2780          | 0.9023   | 0.8758    | 0.8983 | 0.8857 |
+| 0.1248        | 20.0  | 2440 | 0.2809          | 0.9023   | 0.8758    | 0.8983 | 0.8857 |
+
+
+### 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_04-57-06_indolem-petl-vm/events.out.tfevents.1716008231.indolem-petl-vm.1583852.0

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sentiment-pt/adapter_config.json

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+  "config": {
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+    "cross_prefix": true,
+    "dropout": 0.0,
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+    "non_linearity": "tanh",
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+    "shared_gating": true,
+    "use_gating": false
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+  "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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