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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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<!-- 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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# memobert_NCS |
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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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## 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: 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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### Training results |
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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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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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