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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: |
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- null |
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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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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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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: 1.2109 |
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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: 8 |
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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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| 1.9845 | 1.0 | 1163 | 1.6403 | |
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| 1.5695 | 2.0 | 2326 | 1.4212 | |
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| 1.4221 | 3.0 | 3489 | 1.3714 | |
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| 1.3302 | 4.0 | 4652 | 1.3592 | |
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| 1.2734 | 5.0 | 5815 | 1.2781 | |
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| 1.2143 | 6.0 | 6978 | 1.2286 | |
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| 1.1704 | 7.0 | 8141 | 1.2492 | |
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| 1.1261 | 8.0 | 9304 | 1.2044 | |
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| 1.0812 | 9.0 | 10467 | 1.1878 | |
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| 1.0657 | 10.0 | 11630 | 1.2177 | |
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| 1.0319 | 11.0 | 12793 | 1.1428 | |
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| 1.0063 | 12.0 | 13956 | 1.0910 | |
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| 0.9731 | 13.0 | 15119 | 1.1111 | |
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| 0.9674 | 14.0 | 16282 | 1.1699 | |
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| 0.9391 | 15.0 | 17445 | 1.0805 | |
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| 0.9381 | 16.0 | 18608 | 1.2109 | |
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### Framework versions |
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- Transformers 4.8.0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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