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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: metadata-cls-no-gov-8k-vnnic
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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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+ # metadata-cls-no-gov-8k-vnnic
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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: 0.2819
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+ - Accuracy: 0.9319
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+ - F1: 0.7796
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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: 64
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+ - eval_batch_size: 64
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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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+ | 0.5853 | 1.1364 | 150 | 0.2434 | 0.9311 | 0.7583 |
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+ | 0.2425 | 2.2727 | 300 | 0.2510 | 0.9251 | 0.7630 |
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+ | 0.1714 | 3.4091 | 450 | 0.2222 | 0.9345 | 0.7682 |
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+ | 0.1274 | 4.5455 | 600 | 0.2391 | 0.9328 | 0.7862 |
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+ | 0.1075 | 5.6818 | 750 | 0.2507 | 0.9319 | 0.7732 |
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+ | 0.0867 | 6.8182 | 900 | 0.2808 | 0.9277 | 0.7711 |
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+ | 0.0625 | 7.9545 | 1050 | 0.2965 | 0.9243 | 0.7674 |
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+ | 0.0539 | 9.0909 | 1200 | 0.2819 | 0.9319 | 0.7796 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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