Model save
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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-personalyty-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-personalyty-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: 0.2629
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- Accuracy: 0.9511
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- Precision: 0.9511
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- Recall: 0.9511
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- F1: 0.9511
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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 | 0.2033 | 0.9372 | 0.9372 | 0.9372 | 0.9372 |
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| 0.204 | 2.0 | 574 | 0.2492 | 0.9415 | 0.9415 | 0.9415 | 0.9415 |
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| 0.204 | 3.0 | 861 | 0.2422 | 0.9468 | 0.9468 | 0.9468 | 0.9468 |
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| 0.094 | 4.0 | 1148 | 0.2540 | 0.9503 | 0.9503 | 0.9503 | 0.9503 |
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| 0.094 | 5.0 | 1435 | 0.2629 | 0.9511 | 0.9511 | 0.9511 | 0.9511 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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runs/Mar12_02-39-35_bc474705b6cf/events.out.tfevents.1710213552.bc474705b6cf.536.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b89e07abd07f78710765d727eb7caadf13e1f9a591fa1177f7bc0091e7adf33
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size 560
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