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Training completed!

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-multilingual-cased
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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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+ model-index:
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+ - name: SingPurcBERT-Katch-0329-v2
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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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+ # SingPurcBERT-Katch-0329-v2
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3746
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+ - Accuracy: 0.7831
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+ - F1: 0.7830
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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: 8
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+ - eval_batch_size: 8
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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 | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 0.4756 | 1.0 | 2522 | 0.4923 | 0.7693 | 0.7689 |
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+ | 0.4137 | 2.0 | 5044 | 0.5065 | 0.7908 | 0.7906 |
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+ | 0.388 | 3.0 | 7566 | 0.5142 | 0.7985 | 0.7985 |
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+ | 0.3482 | 4.0 | 10088 | 0.6883 | 0.7971 | 0.7971 |
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+ | 0.349 | 5.0 | 12610 | 0.8783 | 0.7908 | 0.7904 |
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+ | 0.3124 | 6.0 | 15132 | 0.8833 | 0.7865 | 0.7864 |
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+ | 0.2986 | 7.0 | 17654 | 0.9290 | 0.7880 | 0.7880 |
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+ | 0.2404 | 8.0 | 20176 | 1.1548 | 0.7847 | 0.7846 |
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+ | 0.2243 | 9.0 | 22698 | 1.2760 | 0.7837 | 0.7836 |
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+ | 0.1488 | 10.0 | 25220 | 1.3746 | 0.7831 | 0.7830 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.0.0
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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