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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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+ 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: memobert3_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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+ # memobert3_ED3
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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: 0.4675
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+ - F1-score: 0.9098
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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 | 0.3591 | 0.8668 |
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+ | No log | 2.0 | 138 | 0.4894 | 0.8582 |
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+ | No log | 3.0 | 207 | 0.4675 | 0.9098 |
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+ | No log | 4.0 | 276 | 0.7260 | 0.8759 |
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+ | No log | 5.0 | 345 | 0.6480 | 0.8924 |
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+ | No log | 6.0 | 414 | 0.6232 | 0.9013 |
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+ | No log | 7.0 | 483 | 0.7043 | 0.8927 |
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+ | 0.1549 | 8.0 | 552 | 0.7174 | 0.8927 |
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+ | 0.1549 | 9.0 | 621 | 0.7093 | 0.8927 |
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+ | 0.1549 | 10.0 | 690 | 0.6832 | 0.9013 |
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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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