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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetuned-DSCS24-mitre-distilbert-base-uncased-fill-mask |
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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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# finetuned-DSCS24-mitre-distilbert-base-uncased-fill-mask |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0279 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: cosine |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7512 | 1.0 | 65 | 2.4057 | |
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| 2.3941 | 2.0 | 130 | 2.2818 | |
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| 2.2615 | 3.0 | 195 | 2.2630 | |
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| 2.2113 | 4.0 | 260 | 2.1359 | |
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| 2.1435 | 5.0 | 325 | 2.1022 | |
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| 2.0719 | 6.0 | 390 | 2.0463 | |
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| 2.0483 | 7.0 | 455 | 2.0830 | |
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| 2.0175 | 8.0 | 520 | 1.9946 | |
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| 1.9778 | 9.0 | 585 | 2.0038 | |
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| 1.9831 | 10.0 | 650 | 1.9502 | |
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| 1.8909 | 11.0 | 715 | 1.9914 | |
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| 1.9602 | 12.0 | 780 | 2.0588 | |
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| 1.9309 | 13.0 | 845 | 2.0038 | |
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| 1.9112 | 14.0 | 910 | 1.9957 | |
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| 1.9197 | 15.0 | 975 | 2.0338 | |
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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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