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End of training

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README.md ADDED
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+ ---
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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_bo_vn
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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_bo_vn
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2688
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+ - Accuracy: 0.9534
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+ - F1: 0.9536
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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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+ | 0.211 | 1.0 | 1719 | 0.1383 | 0.9485 | 0.9487 |
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+ | 0.1376 | 2.0 | 3438 | 0.1373 | 0.9521 | 0.9523 |
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+ | 0.1105 | 3.0 | 5157 | 0.1431 | 0.9522 | 0.9527 |
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+ | 0.0889 | 4.0 | 6876 | 0.1649 | 0.9534 | 0.9537 |
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+ | 0.0715 | 5.0 | 8595 | 0.1770 | 0.9549 | 0.9548 |
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+ | 0.0561 | 6.0 | 10314 | 0.1937 | 0.9533 | 0.9536 |
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+ | 0.0443 | 7.0 | 12033 | 0.2260 | 0.9530 | 0.9533 |
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+ | 0.0367 | 8.0 | 13752 | 0.2664 | 0.9529 | 0.9531 |
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+ | 0.0327 | 9.0 | 15471 | 0.2663 | 0.9532 | 0.9534 |
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+ | 0.0298 | 10.0 | 17190 | 0.2688 | 0.9534 | 0.9536 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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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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