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-pl20-1
+  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-pl20-1
+
+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: 0.2937
+- Accuracy: 0.8822
+- Precision: 0.8574
+- Recall: 0.8592
+- F1: 0.8583
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5467        | 1.0   | 122  | 0.4994          | 0.7444   | 0.6878    | 0.6466 | 0.6574 |
+| 0.4498        | 2.0   | 244  | 0.4013          | 0.7970   | 0.7568    | 0.7764 | 0.7646 |
+| 0.3643        | 3.0   | 366  | 0.3603          | 0.8296   | 0.8252    | 0.7444 | 0.7685 |
+| 0.3131        | 4.0   | 488  | 0.3134          | 0.8546   | 0.8357    | 0.8021 | 0.8159 |
+| 0.2812        | 5.0   | 610  | 0.3087          | 0.8672   | 0.8463    | 0.8260 | 0.8351 |
+| 0.2579        | 6.0   | 732  | 0.3037          | 0.8747   | 0.8443    | 0.8663 | 0.8537 |
+| 0.242         | 7.0   | 854  | 0.2869          | 0.8772   | 0.8514    | 0.8531 | 0.8522 |
+| 0.2238        | 8.0   | 976  | 0.3086          | 0.8622   | 0.8488    | 0.8075 | 0.8239 |
+| 0.2134        | 9.0   | 1098 | 0.2916          | 0.8697   | 0.8520    | 0.8253 | 0.8368 |
+| 0.2014        | 10.0  | 1220 | 0.3077          | 0.8697   | 0.8579    | 0.8178 | 0.8340 |
+| 0.1918        | 11.0  | 1342 | 0.2910          | 0.8672   | 0.8385    | 0.8435 | 0.8409 |
+| 0.1764        | 12.0  | 1464 | 0.2865          | 0.8797   | 0.8530    | 0.8599 | 0.8563 |
+| 0.1771        | 13.0  | 1586 | 0.3068          | 0.8697   | 0.8520    | 0.8253 | 0.8368 |
+| 0.1708        | 14.0  | 1708 | 0.2962          | 0.8872   | 0.8587    | 0.8802 | 0.8681 |
+| 0.1585        | 15.0  | 1830 | 0.2889          | 0.8872   | 0.8645    | 0.8627 | 0.8636 |
+| 0.1602        | 16.0  | 1952 | 0.2941          | 0.8822   | 0.8541    | 0.8692 | 0.8609 |
+| 0.1481        | 17.0  | 2074 | 0.2971          | 0.8847   | 0.8634    | 0.8559 | 0.8595 |
+| 0.1536        | 18.0  | 2196 | 0.2937          | 0.8847   | 0.8621    | 0.8584 | 0.8602 |
+| 0.147         | 19.0  | 2318 | 0.2946          | 0.8822   | 0.8596    | 0.8542 | 0.8568 |
+| 0.1379        | 20.0  | 2440 | 0.2937          | 0.8822   | 0.8574    | 0.8592 | 0.8583 |
+
+
+### 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_12-15-37_indolem-petl-vm/events.out.tfevents.1716120942.indolem-petl-vm.2296990.0

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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": 20,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "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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