End of training
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README.md
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---
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license: mit
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base_model: indobenchmark/indobert-lite-base-p1
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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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- f1
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- precision
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- recall
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model-index:
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- name: indobert-lite-base-p1-indonli-distil
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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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# indobert-lite-base-p1-indonli-distil
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This model is a fine-tuned version of [indobenchmark/indobert-lite-base-p1](https://huggingface.co/indobenchmark/indobert-lite-base-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5443
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- Accuracy: 0.6123
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- F1: 0.6060
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- Precision: 0.6275
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- Recall: 0.6184
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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: 2e-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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.5053 | 1.0 | 646 | 0.4511 | 0.7506 | 0.7462 | 0.7530 | 0.7445 |
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| 0.4516 | 2.0 | 1292 | 0.4458 | 0.7692 | 0.7683 | 0.7684 | 0.7697 |
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| 0.4192 | 3.0 | 1938 | 0.4433 | 0.7701 | 0.7677 | 0.7685 | 0.7673 |
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| 0.3647 | 4.0 | 2584 | 0.4497 | 0.7720 | 0.7699 | 0.7697 | 0.7701 |
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| 0.3502 | 5.0 | 3230 | 0.4530 | 0.7679 | 0.7661 | 0.7658 | 0.7668 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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runs/Jan30_12-48-12_bookbot-h100/events.out.tfevents.1706619098.bookbot-h100.462133.1
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size 1504
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