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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-v2
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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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+ # PhobertLexicalMeta-v2
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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: 0.3926
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+ - Accuracy: 0.9062
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+ - F1: 0.8781
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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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+ | No log | 0.8772 | 100 | 0.2699 | 0.9080 | 0.8801 |
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+ | 0.1564 | 1.7544 | 200 | 0.2984 | 0.9011 | 0.8723 |
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+ | 0.073 | 2.6316 | 300 | 0.3218 | 0.8987 | 0.8705 |
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+ | 0.0502 | 3.5088 | 400 | 0.3472 | 0.8927 | 0.8641 |
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+ | 0.0326 | 4.3860 | 500 | 0.3627 | 0.8941 | 0.8635 |
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+ | 0.0285 | 5.2632 | 600 | 0.3752 | 0.8964 | 0.8685 |
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+ | 0.0179 | 6.1404 | 700 | 0.3666 | 0.9025 | 0.8734 |
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+ | 0.0156 | 7.0175 | 800 | 0.3759 | 0.9043 | 0.8748 |
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+ | 0.0156 | 7.8947 | 900 | 0.3830 | 0.9080 | 0.8788 |
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+ | 0.011 | 8.7719 | 1000 | 0.3917 | 0.9039 | 0.8746 |
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+ | 0.0092 | 9.6491 | 1100 | 0.3926 | 0.9062 | 0.8781 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.3
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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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vocab.txt ADDED
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