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: 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_v7
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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_v7
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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: 0.8382
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- Accuracy: 0.6455
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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: 12
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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 | 220 | 1.0708 | 0.4727 |
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| No log | 2.0 | 440 | 0.9895 | 0.5727 |
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| 1.0281 | 3.0 | 660 | 0.9433 | 0.6182 |
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| 1.0281 | 4.0 | 880 | 0.9145 | 0.6091 |
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| 0.8506 | 5.0 | 1100 | 0.8845 | 0.6182 |
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| 0.8506 | 6.0 | 1320 | 0.8595 | 0.6455 |
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| 0.735 | 7.0 | 1540 | 0.8566 | 0.6455 |
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| 0.735 | 8.0 | 1760 | 0.8421 | 0.6455 |
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| 0.735 | 9.0 | 1980 | 0.8385 | 0.6545 |
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| 0.6855 | 10.0 | 2200 | 0.8430 | 0.6636 |
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| 0.6855 | 11.0 | 2420 | 0.8426 | 0.6455 |
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| 0.6521 | 12.0 | 2640 | 0.8382 | 0.6455 |
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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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