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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: 1.5503 |
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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: 32 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6214 | 1.0 | 291 | 2.2471 | |
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| 2.0594 | 2.0 | 582 | 1.9293 | |
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| 1.8563 | 3.0 | 873 | 1.7961 | |
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| 1.7442 | 4.0 | 1164 | 1.7518 | |
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| 1.657 | 5.0 | 1455 | 1.7390 | |
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| 1.577 | 6.0 | 1746 | 1.7173 | |
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| 1.5071 | 7.0 | 2037 | 1.6223 | |
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| 1.4661 | 8.0 | 2328 | 1.5691 | |
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| 1.4365 | 9.0 | 2619 | 1.6280 | |
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| 1.3827 | 10.0 | 2910 | 1.4641 | |
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| 1.3517 | 11.0 | 3201 | 1.6498 | |
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| 1.3294 | 12.0 | 3492 | 1.3006 | |
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| 1.2836 | 13.0 | 3783 | 1.6520 | |
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| 1.2867 | 14.0 | 4074 | 1.6064 | |
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| 1.2819 | 15.0 | 4365 | 1.4131 | |
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| 1.2611 | 16.0 | 4656 | 1.5503 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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