End of training
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README.md
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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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<!-- 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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# memo3_ND
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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model.safetensors
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runs/Jun10_11-32-23_6e5cbccf4ed1/events.out.tfevents.1718024315.6e5cbccf4ed1.1747.4
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