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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: jgammack/SAE-door-abstracts |
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widget: |
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- text: Wind [MASK] was detected coming from the car door closure system. |
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example_title: Closure system |
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model-index: |
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- name: SAE-bert-base-uncased |
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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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# SAE-bert-base-uncased |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [jgammack/SAE-door-abstracts](https://huggingface.co/datasets/jgammack/SAE-door-abstracts) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1256 |
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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: 7 |
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- eval_batch_size: 7 |
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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: 15 |
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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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| 2.5967 | 1.0 | 80 | 2.3409 | |
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| 2.4881 | 2.0 | 160 | 2.2707 | |
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| 2.3567 | 3.0 | 240 | 2.3134 | |
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| 2.3413 | 4.0 | 320 | 2.2592 | |
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| 2.3006 | 5.0 | 400 | 2.2351 | |
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| 2.2568 | 6.0 | 480 | 2.2556 | |
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| 2.2303 | 7.0 | 560 | 2.2546 | |
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| 2.1892 | 8.0 | 640 | 2.1868 | |
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| 2.1851 | 9.0 | 720 | 2.2073 | |
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| 2.1738 | 10.0 | 800 | 2.1344 | |
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| 2.1673 | 11.0 | 880 | 2.1927 | |
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| 2.1518 | 12.0 | 960 | 2.1844 | |
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| 2.1142 | 13.0 | 1040 | 2.1466 | |
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| 2.1343 | 14.0 | 1120 | 2.2024 | |
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| 2.1332 | 15.0 | 1200 | 2.1035 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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