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  2. model.safetensors +1 -1
README.md ADDED
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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_v9
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+ results: []
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+ ---
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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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+
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+ # Zidan_model_output_v9
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+
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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: 1.4760
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+ - Accuracy: 0.8
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 248 | 0.6499 | 0.7818 |
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+ | No log | 2.0 | 496 | 0.8322 | 0.7818 |
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+ | 0.7366 | 3.0 | 744 | 0.7805 | 0.8 |
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+ | 0.7366 | 4.0 | 992 | 1.1599 | 0.8182 |
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+ | 0.4101 | 5.0 | 1240 | 0.8254 | 0.8727 |
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+ | 0.4101 | 6.0 | 1488 | 0.9355 | 0.8364 |
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+ | 0.1646 | 7.0 | 1736 | 0.7034 | 0.9091 |
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+ | 0.1646 | 8.0 | 1984 | 0.8547 | 0.8545 |
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+ | 0.0927 | 9.0 | 2232 | 1.2842 | 0.8182 |
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+ | 0.0927 | 10.0 | 2480 | 1.2158 | 0.8364 |
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+ | 0.0457 | 11.0 | 2728 | 1.2863 | 0.8182 |
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+ | 0.0457 | 12.0 | 2976 | 1.4266 | 0.8182 |
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+ | 0.0383 | 13.0 | 3224 | 1.4670 | 0.8182 |
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+ | 0.0383 | 14.0 | 3472 | 1.4547 | 0.8182 |
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+ | 0.0221 | 15.0 | 3720 | 1.4760 | 0.8 |
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+
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+
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+ ### Framework versions
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+
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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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