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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-large-p1
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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-large-p1-reddit-indonesia-sarcastic
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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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+ # indobert-large-p1-reddit-indonesia-sarcastic
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+
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+ This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1299
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+ - Accuracy: 0.7895
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+ - F1: 0.5293
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+ - Precision: 0.6007
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+ - Recall: 0.4731
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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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: cosine
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+ - num_epochs: 100.0
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+ - mixed_precision_training: Native AMP
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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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.4573 | 1.0 | 309 | 0.4251 | 0.7966 | 0.5684 | 0.6058 | 0.5354 |
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+ | 0.3274 | 2.0 | 618 | 0.4458 | 0.7824 | 0.5955 | 0.5567 | 0.6402 |
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+ | 0.1999 | 3.0 | 927 | 0.5890 | 0.8065 | 0.5412 | 0.6653 | 0.4561 |
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+ | 0.0864 | 4.0 | 1236 | 0.8080 | 0.8023 | 0.5536 | 0.6360 | 0.4901 |
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+ | 0.0391 | 5.0 | 1545 | 1.1299 | 0.7895 | 0.5293 | 0.6007 | 0.4731 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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