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-pl10-1
+  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-pl10-1
+
+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: 0.3011
+- Accuracy: 0.8972
+- Precision: 0.8754
+- Recall: 0.8773
+- F1: 0.8764
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5535        | 1.0   | 122  | 0.5078          | 0.7268   | 0.6606    | 0.6242 | 0.6327 |
+| 0.4682        | 2.0   | 244  | 0.4185          | 0.8170   | 0.7798    | 0.7756 | 0.7776 |
+| 0.3849        | 3.0   | 366  | 0.3809          | 0.8170   | 0.7968    | 0.7380 | 0.7573 |
+| 0.3127        | 4.0   | 488  | 0.3280          | 0.8571   | 0.8266    | 0.8314 | 0.8289 |
+| 0.2869        | 5.0   | 610  | 0.3169          | 0.8622   | 0.8333    | 0.8350 | 0.8341 |
+| 0.274         | 6.0   | 732  | 0.3218          | 0.8772   | 0.8467    | 0.8731 | 0.8576 |
+| 0.2539        | 7.0   | 854  | 0.3038          | 0.8672   | 0.8378    | 0.8460 | 0.8417 |
+| 0.2286        | 8.0   | 976  | 0.3202          | 0.8672   | 0.8479    | 0.8235 | 0.8342 |
+| 0.2249        | 9.0   | 1098 | 0.2973          | 0.8872   | 0.8606    | 0.8727 | 0.8662 |
+| 0.2083        | 10.0  | 1220 | 0.3128          | 0.8722   | 0.8602    | 0.8221 | 0.8377 |
+| 0.1935        | 11.0  | 1342 | 0.2957          | 0.8922   | 0.8665    | 0.8788 | 0.8722 |
+| 0.1859        | 12.0  | 1464 | 0.2869          | 0.8822   | 0.8548    | 0.8667 | 0.8603 |
+| 0.1735        | 13.0  | 1586 | 0.3061          | 0.8797   | 0.8633    | 0.8399 | 0.8502 |
+| 0.1804        | 14.0  | 1708 | 0.2955          | 0.8897   | 0.8632    | 0.8770 | 0.8695 |
+| 0.1628        | 15.0  | 1830 | 0.2973          | 0.8972   | 0.8767    | 0.8748 | 0.8757 |
+| 0.1619        | 16.0  | 1952 | 0.3023          | 0.8897   | 0.8618    | 0.8820 | 0.8707 |
+| 0.1514        | 17.0  | 2074 | 0.2997          | 0.8972   | 0.8732    | 0.8823 | 0.8776 |
+| 0.1503        | 18.0  | 2196 | 0.3002          | 0.8947   | 0.8718    | 0.8755 | 0.8737 |
+| 0.154         | 19.0  | 2318 | 0.3031          | 0.8947   | 0.8730    | 0.8730 | 0.8730 |
+| 0.1408        | 20.0  | 2440 | 0.3011          | 0.8972   | 0.8754    | 0.8773 | 0.8764 |
+
+
+### 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_11-43-06_indolem-petl-vm/events.out.tfevents.1716118992.indolem-petl-vm.2284765.0

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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
+    },
+    "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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