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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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base_model: bert-base-uncased |
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model-index: |
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- name: bert-base-uncased-issues-128 |
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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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# bert-base-uncased-issues-128 |
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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: 1.2314 |
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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: 64 |
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- eval_batch_size: 16 |
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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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.193 | 1.0 | 146 | 1.7004 | |
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| 1.7081 | 2.0 | 292 | 1.4895 | |
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| 1.5458 | 3.0 | 438 | 1.4427 | |
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| 1.4715 | 4.0 | 584 | 1.4081 | |
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| 1.3944 | 5.0 | 730 | 1.3163 | |
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| 1.3396 | 6.0 | 876 | 1.3200 | |
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| 1.2945 | 7.0 | 1022 | 1.2785 | |
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| 1.2652 | 8.0 | 1168 | 1.2473 | |
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| 1.2332 | 9.0 | 1314 | 1.2321 | |
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| 1.2042 | 10.0 | 1460 | 1.2162 | |
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| 1.204 | 11.0 | 1606 | 1.1781 | |
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| 1.1866 | 12.0 | 1752 | 1.2211 | |
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| 1.1592 | 13.0 | 1898 | 1.2801 | |
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| 1.1503 | 14.0 | 2044 | 1.1768 | |
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| 1.1268 | 15.0 | 2190 | 1.1657 | |
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| 1.1521 | 16.0 | 2336 | 1.2314 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0 |
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- Datasets 2.2.3.dev0 |
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- Tokenizers 0.12.1 |
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