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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: IndoBERT_top5_bm25_rr5_10_epoch |
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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_top5_bm25_rr5_10_epoch |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0484 |
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- Accuracy: 0.8476 |
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- F1: 0.7027 |
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- Precision: 0.7143 |
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- Recall: 0.6915 |
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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: 5e-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_steps: 100 |
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- num_epochs: 10 |
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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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| No log | 0.2857 | 16 | 0.5745 | 0.7396 | 0.0 | 0.0 | 0.0 | |
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| No log | 0.5714 | 32 | 0.5547 | 0.7396 | 0.0 | 0.0 | 0.0 | |
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| No log | 0.8571 | 48 | 0.5288 | 0.7396 | 0.0 | 0.0 | 0.0 | |
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| No log | 1.1429 | 64 | 0.4822 | 0.8006 | 0.4462 | 0.8056 | 0.3085 | |
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| No log | 1.4286 | 80 | 0.4105 | 0.8310 | 0.6013 | 0.7797 | 0.4894 | |
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| No log | 1.7143 | 96 | 0.3975 | 0.8172 | 0.6633 | 0.6373 | 0.6915 | |
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| No log | 2.0 | 112 | 0.3980 | 0.8172 | 0.5541 | 0.7593 | 0.4362 | |
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| No log | 2.2857 | 128 | 0.4243 | 0.8144 | 0.6794 | 0.6174 | 0.7553 | |
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| No log | 2.5714 | 144 | 0.4404 | 0.8033 | 0.4580 | 0.8108 | 0.3191 | |
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| No log | 2.8571 | 160 | 0.3763 | 0.8504 | 0.6824 | 0.7632 | 0.6170 | |
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| No log | 3.1429 | 176 | 0.6084 | 0.7701 | 0.6527 | 0.5379 | 0.8298 | |
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| No log | 3.4286 | 192 | 0.4822 | 0.8587 | 0.7052 | 0.7722 | 0.6489 | |
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| No log | 3.7143 | 208 | 0.4620 | 0.8449 | 0.6164 | 0.8654 | 0.4787 | |
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| No log | 4.0 | 224 | 0.6729 | 0.7922 | 0.6809 | 0.5674 | 0.8511 | |
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| No log | 4.2857 | 240 | 0.7337 | 0.8449 | 0.7143 | 0.6863 | 0.7447 | |
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| No log | 4.5714 | 256 | 1.0946 | 0.7812 | 0.6580 | 0.5547 | 0.8085 | |
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| No log | 4.8571 | 272 | 1.0382 | 0.7535 | 0.6397 | 0.5163 | 0.8404 | |
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| No log | 5.1429 | 288 | 0.5228 | 0.8532 | 0.6971 | 0.7531 | 0.6489 | |
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| No log | 5.4286 | 304 | 0.8456 | 0.8255 | 0.6897 | 0.6422 | 0.7447 | |
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| No log | 5.7143 | 320 | 0.8758 | 0.8504 | 0.6860 | 0.7564 | 0.6277 | |
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| No log | 6.0 | 336 | 0.9307 | 0.8116 | 0.6699 | 0.6161 | 0.7340 | |
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| No log | 6.2857 | 352 | 0.7016 | 0.8421 | 0.6743 | 0.7284 | 0.6277 | |
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| No log | 6.5714 | 368 | 0.6991 | 0.8560 | 0.6941 | 0.7763 | 0.6277 | |
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| No log | 6.8571 | 384 | 0.7400 | 0.8504 | 0.7188 | 0.7041 | 0.7340 | |
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| No log | 7.1429 | 400 | 0.8463 | 0.8532 | 0.7166 | 0.7204 | 0.7128 | |
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| No log | 7.4286 | 416 | 0.8996 | 0.8560 | 0.7234 | 0.7234 | 0.7234 | |
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| No log | 7.7143 | 432 | 0.9267 | 0.8504 | 0.7158 | 0.7083 | 0.7234 | |
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| No log | 8.0 | 448 | 0.9227 | 0.8587 | 0.7182 | 0.7471 | 0.6915 | |
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| No log | 8.2857 | 464 | 0.9840 | 0.8476 | 0.7027 | 0.7143 | 0.6915 | |
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| No log | 8.5714 | 480 | 1.0115 | 0.8449 | 0.6923 | 0.7159 | 0.6702 | |
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| No log | 8.8571 | 496 | 1.0437 | 0.8449 | 0.6957 | 0.7111 | 0.6809 | |
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| 0.2421 | 9.1429 | 512 | 1.0514 | 0.8449 | 0.6957 | 0.7111 | 0.6809 | |
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| 0.2421 | 9.4286 | 528 | 1.0470 | 0.8476 | 0.7027 | 0.7143 | 0.6915 | |
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| 0.2421 | 9.7143 | 544 | 1.0438 | 0.8476 | 0.7027 | 0.7143 | 0.6915 | |
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| 0.2421 | 10.0 | 560 | 1.0484 | 0.8476 | 0.7027 | 0.7143 | 0.6915 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Tokenizers 0.19.1 |
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