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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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model-index:
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- name: closure_system_door_inne-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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# closure_system_door_inne-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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0296
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.7321 | 1.0 | 2 | 2.5805 |
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| 2.6045 | 2.0 | 4 | 2.0090 |
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| 2.4577 | 3.0 | 6 | 2.3344 |
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| 2.3622 | 4.0 | 8 | 2.4189 |
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| 2.2629 | 5.0 | 10 | 2.0051 |
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| 2.3575 | 6.0 | 12 | 1.7793 |
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| 2.2746 | 7.0 | 14 | 2.2124 |
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| 2.4304 | 8.0 | 16 | 1.9713 |
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| 2.2066 | 9.0 | 18 | 2.0853 |
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| 2.2619 | 10.0 | 20 | 2.0295 |
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| 2.3832 | 11.0 | 22 | 1.9840 |
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| 2.2777 | 12.0 | 24 | 2.2731 |
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| 2.1527 | 13.0 | 26 | 1.7285 |
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| 2.2348 | 14.0 | 28 | 1.5803 |
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| 2.1266 | 15.0 | 30 | 2.2303 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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