AptaArkana
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README.md
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---
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: indonesian-personality-indoBERT-finetuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# indonesian-personality-indoBERT-finetuned
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2576
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- Accuracy: 0.9468
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- Precision: 0.9468
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- Recall: 0.9468
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- F1: 0.9468
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 287 | 0.2285 | 0.9389 | 0.9389 | 0.9389 | 0.9389 |
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| 0.2017 | 2.0 | 574 | 0.2408 | 0.9302 | 0.9302 | 0.9302 | 0.9302 |
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| 0.2017 | 3.0 | 861 | 0.2523 | 0.9442 | 0.9442 | 0.9442 | 0.9442 |
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| 0.104 | 4.0 | 1148 | 0.2537 | 0.9459 | 0.9459 | 0.9459 | 0.9459 |
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| 0.104 | 5.0 | 1435 | 0.2576 | 0.9468 | 0.9468 | 0.9468 | 0.9468 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Mar12_09-09-28_f4980289c738/events.out.tfevents.1710237019.f4980289c738.180.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:58a666671bf614395655f7fb4b83dcc15e0be7f77e091dec919e7770896c9386
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size 560
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