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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: bert-base-uncased-transformers-github-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-transformers-github-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: 1.2348 |
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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: 16 |
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- eval_batch_size: 8 |
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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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| 2.0247 | 1.0 | 582 | 1.6457 | |
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| 1.5989 | 2.0 | 1164 | 1.4157 | |
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| 1.4449 | 3.0 | 1746 | 1.3494 | |
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| 1.3579 | 4.0 | 2328 | 1.3774 | |
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| 1.3039 | 5.0 | 2910 | 1.1908 | |
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| 1.2428 | 6.0 | 3492 | 1.2780 | |
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| 1.19 | 7.0 | 4074 | 1.2569 | |
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| 1.1544 | 8.0 | 4656 | 1.1927 | |
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| 1.126 | 9.0 | 5238 | 1.1703 | |
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| 1.0893 | 10.0 | 5820 | 1.2100 | |
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| 1.0631 | 11.0 | 6402 | 1.1988 | |
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| 1.0417 | 12.0 | 6984 | 1.1643 | |
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| 1.0252 | 13.0 | 7566 | 1.2202 | |
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| 1.0101 | 14.0 | 8148 | 1.1678 | |
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| 0.9972 | 15.0 | 8730 | 1.0999 | |
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| 0.995 | 16.0 | 9312 | 1.2348 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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