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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: cc-by-4.0
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+ base_model: NbAiLab/nb-bert-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: nbbert_ED3
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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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+ # nbbert_ED3
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+
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+ This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3621
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+ - F1-score: 0.8846
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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 | F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 69 | 0.5867 | 0.7748 |
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+ | No log | 2.0 | 138 | 0.4927 | 0.8030 |
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+ | No log | 3.0 | 207 | 0.3621 | 0.8846 |
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+ | No log | 4.0 | 276 | 0.3917 | 0.8358 |
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+ | No log | 5.0 | 345 | 0.5062 | 0.8442 |
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+ | No log | 6.0 | 414 | 0.7493 | 0.8187 |
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+ | No log | 7.0 | 483 | 0.7768 | 0.8262 |
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+ | 0.4016 | 8.0 | 552 | 0.9187 | 0.8262 |
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+ | 0.4016 | 9.0 | 621 | 0.9876 | 0.8107 |
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+ | 0.4016 | 10.0 | 690 | 1.0521 | 0.7946 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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