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End of training

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README.md ADDED
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+ ---
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+ base_model: MiMe-MeMo/MeMo-BERT-03
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: memo3_ND
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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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+ # memo3_ND
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+
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+ This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5131
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+ - F1-score: 0.8634
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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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+ | 0.1986 | 1.0 | 1177 | 0.4906 | 0.8009 |
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+ | 0.187 | 2.0 | 2354 | 0.5147 | 0.7915 |
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+ | 0.172 | 3.0 | 3531 | 0.5131 | 0.8634 |
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+ | 0.1868 | 4.0 | 4708 | 0.5832 | 0.7950 |
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+ | 0.1653 | 5.0 | 5885 | 0.5538 | 0.8530 |
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+ | 0.1585 | 6.0 | 7062 | 0.4072 | 0.8625 |
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+ | 0.1637 | 7.0 | 8239 | 0.5193 | 0.8417 |
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+ | 0.1514 | 8.0 | 9416 | 0.5005 | 0.8508 |
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+ | 0.151 | 9.0 | 10593 | 0.5406 | 0.8521 |
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+ | 0.159 | 10.0 | 11770 | 0.5156 | 0.8533 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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