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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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model-index: |
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- name: Zidan_model_output_v10 |
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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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# Zidan_model_output_v10 |
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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: 0.7422 |
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- Accuracy: 0.7455 |
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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-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 248 | 1.0211 | 0.5273 | |
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| No log | 2.0 | 496 | 0.9519 | 0.6727 | |
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| 1.0031 | 3.0 | 744 | 0.8800 | 0.6545 | |
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| 1.0031 | 4.0 | 992 | 0.8159 | 0.6909 | |
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| 0.8477 | 5.0 | 1240 | 0.8053 | 0.6909 | |
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| 0.8477 | 6.0 | 1488 | 0.8047 | 0.7455 | |
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| 0.7504 | 7.0 | 1736 | 0.7551 | 0.7455 | |
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| 0.7504 | 8.0 | 1984 | 0.7315 | 0.7273 | |
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| 0.6811 | 9.0 | 2232 | 0.7451 | 0.7273 | |
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| 0.6811 | 10.0 | 2480 | 0.7716 | 0.7273 | |
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| 0.6299 | 11.0 | 2728 | 0.7615 | 0.7636 | |
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| 0.6299 | 12.0 | 2976 | 0.7530 | 0.7455 | |
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| 0.5932 | 13.0 | 3224 | 0.7416 | 0.7455 | |
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| 0.5932 | 14.0 | 3472 | 0.7476 | 0.7455 | |
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| 0.5699 | 15.0 | 3720 | 0.7422 | 0.7455 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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