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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tuned_test_trainer-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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# tuned_test_trainer-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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6178 |
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- Rmse: 0.7287 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rmse | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.7033 | 1.0 | 500 | 0.6323 | 0.6645 | |
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| 0.5289 | 2.0 | 1000 | 0.6178 | 0.7287 | |
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| 0.333 | 3.0 | 1500 | 0.7281 | 0.6512 | |
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| 0.2234 | 4.0 | 2000 | 1.0422 | 0.6663 | |
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| 0.1501 | 5.0 | 2500 | 1.2281 | 0.6914 | |
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| 0.0929 | 6.0 | 3000 | 1.5626 | 0.7082 | |
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| 0.0643 | 7.0 | 3500 | 1.6458 | 0.6950 | |
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| 0.0386 | 8.0 | 4000 | 1.8954 | 0.6863 | |
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| 0.0262 | 9.0 | 4500 | 1.9457 | 0.6925 | |
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| 0.0185 | 10.0 | 5000 | 1.9945 | 0.6793 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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