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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: agpl-3.0
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+ base_model: vinai/phobert-base-v2
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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: phobert_45k_boduoi_test10k
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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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+ # phobert_45k_boduoi_test10k
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+
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+ This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4654
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+ - Accuracy: 0.8876
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+ - F1: 0.8882
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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: 32
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+ - eval_batch_size: 32
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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_with_restarts
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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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+ | 0.3644 | 1.0 | 1407 | 0.2934 | 0.8707 | 0.8722 |
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+ | 0.2799 | 2.0 | 2814 | 0.2776 | 0.8774 | 0.8792 |
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+ | 0.2362 | 3.0 | 4221 | 0.2986 | 0.8839 | 0.8854 |
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+ | 0.1977 | 4.0 | 5628 | 0.3291 | 0.8893 | 0.8890 |
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+ | 0.1665 | 5.0 | 7035 | 0.3141 | 0.8903 | 0.8906 |
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+ | 0.1363 | 6.0 | 8442 | 0.3616 | 0.8892 | 0.8898 |
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+ | 0.1146 | 7.0 | 9849 | 0.3969 | 0.8887 | 0.8888 |
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+ | 0.1016 | 8.0 | 11256 | 0.4377 | 0.8890 | 0.8896 |
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+ | 0.0906 | 9.0 | 12663 | 0.4637 | 0.8875 | 0.8882 |
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+ | 0.0819 | 10.0 | 14070 | 0.4654 | 0.8876 | 0.8882 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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