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--- |
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base_model: MiMe-MeMo/MeMo-BERT-01 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: new_memo_model |
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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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# new_memo_model |
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This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-01](https://huggingface.co/MiMe-MeMo/MeMo-BERT-01) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7214 |
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- F1-score: 0.6667 |
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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: 20 |
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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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| No log | 1.0 | 11 | 0.7214 | 0.6667 | |
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| No log | 2.0 | 22 | 1.2543 | 0.5429 | |
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| No log | 3.0 | 33 | 1.0829 | 0.6837 | |
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| No log | 4.0 | 44 | 1.3815 | 0.7552 | |
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| No log | 5.0 | 55 | 1.4733 | 0.7005 | |
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| No log | 6.0 | 66 | 2.3876 | 0.5513 | |
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| No log | 7.0 | 77 | 1.3215 | 0.8004 | |
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| No log | 8.0 | 88 | 1.4006 | 0.7608 | |
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| No log | 9.0 | 99 | 1.4862 | 0.7608 | |
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| No log | 10.0 | 110 | 1.4974 | 0.7608 | |
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| No log | 11.0 | 121 | 1.4966 | 0.7608 | |
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| No log | 12.0 | 132 | 1.5040 | 0.7608 | |
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| No log | 13.0 | 143 | 1.5010 | 0.7608 | |
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| No log | 14.0 | 154 | 1.4741 | 0.7608 | |
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| No log | 15.0 | 165 | 1.4507 | 0.7608 | |
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| No log | 16.0 | 176 | 1.4420 | 0.7608 | |
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| No log | 17.0 | 187 | 1.4398 | 0.7608 | |
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| No log | 18.0 | 198 | 1.4426 | 0.7608 | |
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| No log | 19.0 | 209 | 1.4438 | 0.7608 | |
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| No log | 20.0 | 220 | 1.4439 | 0.7608 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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