Dhanang commited on
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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: indobenchmark/indobert-base-p2
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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: aspect_model
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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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+ # aspect_model
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+
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+ This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9923
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+ - Accuracy: 0.8118
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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: 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: 10
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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 | 72 | 0.6854 | 0.7561 |
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+ | No log | 2.0 | 144 | 0.6433 | 0.7631 |
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+ | No log | 3.0 | 216 | 0.6147 | 0.8153 |
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+ | No log | 4.0 | 288 | 0.7428 | 0.8153 |
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+ | No log | 5.0 | 360 | 0.9310 | 0.8118 |
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+ | No log | 6.0 | 432 | 0.8987 | 0.8153 |
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+ | 0.2722 | 7.0 | 504 | 0.9777 | 0.8118 |
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+ | 0.2722 | 8.0 | 576 | 0.9984 | 0.8223 |
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+ | 0.2722 | 9.0 | 648 | 1.0060 | 0.8084 |
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+ | 0.2722 | 10.0 | 720 | 0.9923 | 0.8118 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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