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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: memobert_NCS
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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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+ # memobert_NCS
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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: 0.4169
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+ - F1-score: 0.8127
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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: 16
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+ - eval_batch_size: 16
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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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+ | 0.4805 | 1.0 | 504 | 0.4169 | 0.8127 |
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+ | 0.3748 | 2.0 | 1008 | 0.4367 | 0.8110 |
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+ | 0.2404 | 3.0 | 1512 | 0.5782 | 0.8112 |
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+ | 0.1523 | 4.0 | 2016 | 0.8041 | 0.8061 |
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+ | 0.0838 | 5.0 | 2520 | 1.0791 | 0.8007 |
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+ | 0.047 | 6.0 | 3024 | 1.3892 | 0.7851 |
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+ | 0.0314 | 7.0 | 3528 | 1.4142 | 0.7890 |
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+ | 0.0171 | 8.0 | 4032 | 1.4453 | 0.7939 |
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+ | 0.0096 | 9.0 | 4536 | 1.5124 | 0.7933 |
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+ | 0.0103 | 10.0 | 5040 | 1.5355 | 0.7943 |
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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 2.20.0
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+ - Tokenizers 0.19.1
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