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End of training

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README.md ADDED
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+ ---
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+ base_model: gechim/metadata-cls-no-gov-8k-v3
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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: PhobertLexicalMeta
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenducbao/huggingface/runs/h3pap4wy)
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+ # PhobertLexicalMeta
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+
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+ This model is a fine-tuned version of [gechim/metadata-cls-no-gov-8k-v3](https://huggingface.co/gechim/metadata-cls-no-gov-8k-v3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0927
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+ - Accuracy: 0.9792
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+ - F1: 0.9664
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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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+ | 0.1701 | 1.9608 | 200 | 0.0936 | 0.9741 | 0.9575 |
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+ | 0.0537 | 3.9216 | 400 | 0.0780 | 0.9780 | 0.9647 |
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+ | 0.0252 | 5.8824 | 600 | 0.0762 | 0.9805 | 0.9687 |
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+ | 0.016 | 7.8431 | 800 | 0.0996 | 0.9780 | 0.9640 |
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+ | 0.0098 | 9.8039 | 1000 | 0.0927 | 0.9792 | 0.9664 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.1
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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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