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Training completed!

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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: ConcPurcBERT-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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+ # ConcPurcBERT-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: 1.4324
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+ - Accuracy: 0.7742
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+ - F1: 0.7739
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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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+ | 0.4707 | 1.0 | 2522 | 0.5220 | 0.7553 | 0.7517 |
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+ | 0.4152 | 2.0 | 5044 | 0.4808 | 0.7855 | 0.7854 |
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+ | 0.385 | 3.0 | 7566 | 0.5768 | 0.7846 | 0.7834 |
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+ | 0.3495 | 4.0 | 10088 | 0.7314 | 0.7945 | 0.7945 |
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+ | 0.3282 | 5.0 | 12610 | 0.8054 | 0.7893 | 0.7890 |
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+ | 0.3214 | 6.0 | 15132 | 0.9016 | 0.7898 | 0.7895 |
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+ | 0.3038 | 7.0 | 17654 | 1.0931 | 0.7890 | 0.7890 |
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+ | 0.235 | 8.0 | 20176 | 1.1521 | 0.7749 | 0.7741 |
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+ | 0.1705 | 9.0 | 22698 | 1.3791 | 0.7758 | 0.7756 |
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+ | 0.1252 | 10.0 | 25220 | 1.4324 | 0.7742 | 0.7739 |
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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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