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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_CITA_15k
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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_CITA_15k
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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: 0.6995
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+ - Accuracy: 0.8057
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+ - F1: 0.8034
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | 0.4825 | 1.0 | 375 | 0.4345 | 0.8047 | 0.7947 |
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+ | 0.3984 | 2.0 | 750 | 0.4341 | 0.8033 | 0.8030 |
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+ | 0.3466 | 3.0 | 1125 | 0.4692 | 0.8213 | 0.8158 |
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+ | 0.3012 | 4.0 | 1500 | 0.5128 | 0.8147 | 0.8051 |
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+ | 0.256 | 5.0 | 1875 | 0.5427 | 0.806 | 0.8061 |
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+ | 0.213 | 6.0 | 2250 | 0.5851 | 0.8087 | 0.8022 |
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+ | 0.1805 | 7.0 | 2625 | 0.6466 | 0.8083 | 0.8060 |
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+ | 0.1568 | 8.0 | 3000 | 0.6883 | 0.81 | 0.8053 |
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+ | 0.1453 | 9.0 | 3375 | 0.6956 | 0.8083 | 0.8056 |
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+ | 0.1467 | 10.0 | 3750 | 0.6995 | 0.8057 | 0.8034 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.21.0
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