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-pl30-0
+  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-pl30-0
+
+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: 0.2913
+- Accuracy: 0.9048
+- Precision: 0.8851
+- Recall: 0.8851
+- F1: 0.8851
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5457        | 1.0   | 122  | 0.4753          | 0.7193   | 0.6465    | 0.5964 | 0.6014 |
+| 0.4518        | 2.0   | 244  | 0.4070          | 0.7970   | 0.7589    | 0.7864 | 0.7685 |
+| 0.3461        | 3.0   | 366  | 0.3412          | 0.8421   | 0.8231    | 0.7808 | 0.7970 |
+| 0.2958        | 4.0   | 488  | 0.3253          | 0.8546   | 0.8263    | 0.8196 | 0.8229 |
+| 0.2659        | 5.0   | 610  | 0.2941          | 0.8822   | 0.8610    | 0.8517 | 0.8561 |
+| 0.2482        | 6.0   | 732  | 0.2965          | 0.8772   | 0.8473    | 0.8681 | 0.8563 |
+| 0.2264        | 7.0   | 854  | 0.2869          | 0.8747   | 0.8447    | 0.8638 | 0.8531 |
+| 0.2218        | 8.0   | 976  | 0.2795          | 0.8997   | 0.8961    | 0.8566 | 0.8730 |
+| 0.2106        | 9.0   | 1098 | 0.2705          | 0.8922   | 0.8673    | 0.8763 | 0.8716 |
+| 0.1981        | 10.0  | 1220 | 0.2751          | 0.9073   | 0.8920    | 0.8819 | 0.8867 |
+| 0.1802        | 11.0  | 1342 | 0.2745          | 0.9048   | 0.8826    | 0.8901 | 0.8862 |
+| 0.1828        | 12.0  | 1464 | 0.2799          | 0.9073   | 0.8957    | 0.8769 | 0.8855 |
+| 0.1707        | 13.0  | 1586 | 0.2739          | 0.9098   | 0.8960    | 0.8837 | 0.8895 |
+| 0.1606        | 14.0  | 1708 | 0.2868          | 0.9073   | 0.8862    | 0.8919 | 0.8890 |
+| 0.1499        | 15.0  | 1830 | 0.2930          | 0.9023   | 0.8828    | 0.8808 | 0.8818 |
+| 0.1555        | 16.0  | 1952 | 0.3041          | 0.8947   | 0.8682    | 0.8855 | 0.8760 |
+| 0.1396        | 17.0  | 2074 | 0.2876          | 0.9023   | 0.8814    | 0.8833 | 0.8824 |
+| 0.1477        | 18.0  | 2196 | 0.2900          | 0.9048   | 0.8865    | 0.8826 | 0.8845 |
+| 0.1434        | 19.0  | 2318 | 0.2917          | 0.9048   | 0.8851    | 0.8851 | 0.8851 |
+| 0.1386        | 20.0  | 2440 | 0.2913          | 0.9048   | 0.8851    | 0.8851 | 0.8851 |
+
+
+### 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_05-30-15_indolem-petl-vm/events.out.tfevents.1716010219.indolem-petl-vm.1595950.0

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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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