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README.md
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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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metrics:
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- accuracy
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model-index:
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- name: user_class_L
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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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# user_class_L
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5451
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- Accuracy: 0.9237
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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: 3.8e-05
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- train_batch_size: 30
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- eval_batch_size: 4
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1572 | 1.0 | 24 | 0.2433 | 0.9025 |
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| 0.1649 | 2.0 | 48 | 0.2262 | 0.9237 |
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| 0.2498 | 3.0 | 72 | 0.2584 | 0.9237 |
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| 0.006 | 4.0 | 96 | 0.3393 | 0.9153 |
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| 0.0035 | 5.0 | 120 | 0.3967 | 0.9153 |
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| 0.0017 | 6.0 | 144 | 0.4777 | 0.9153 |
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| 0.0006 | 7.0 | 168 | 0.6257 | 0.8898 |
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| 0.0005 | 8.0 | 192 | 0.5752 | 0.9153 |
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| 0.0002 | 9.0 | 216 | 0.5182 | 0.9237 |
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| 0.0003 | 10.0 | 240 | 0.5041 | 0.9195 |
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| 0.0002 | 11.0 | 264 | 0.5051 | 0.9195 |
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| 0.0001 | 12.0 | 288 | 0.5292 | 0.9195 |
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| 0.0002 | 13.0 | 312 | 0.5391 | 0.9237 |
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| 0.0002 | 14.0 | 336 | 0.5437 | 0.9237 |
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| 0.0002 | 15.0 | 360 | 0.5451 | 0.9237 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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