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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_55k_boduoi_test14k
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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_55k_boduoi_test14k
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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: 0.3841
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+ - Accuracy: 0.9205
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+ - F1: 0.9239
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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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+ | 0.2245 | 1.0 | 1725 | 0.2705 | 0.9235 | 0.9215 |
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+ | 0.1611 | 2.0 | 3450 | 0.2607 | 0.9245 | 0.9240 |
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+ | 0.1358 | 3.0 | 5175 | 0.2648 | 0.9258 | 0.9254 |
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+ | 0.1181 | 4.0 | 6900 | 0.2814 | 0.9219 | 0.9240 |
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+ | 0.1014 | 5.0 | 8625 | 0.2860 | 0.9276 | 0.9268 |
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+ | 0.0868 | 6.0 | 10350 | 0.3144 | 0.9215 | 0.9242 |
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+ | 0.0757 | 7.0 | 12075 | 0.3435 | 0.9187 | 0.9222 |
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+ | 0.0654 | 8.0 | 13800 | 0.3449 | 0.9247 | 0.9263 |
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+ | 0.0579 | 9.0 | 15525 | 0.3775 | 0.9224 | 0.9250 |
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+ | 0.056 | 10.0 | 17250 | 0.3841 | 0.9205 | 0.9239 |
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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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