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README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: Gikubu_bert_base
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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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# Gikubu_bert_base
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6490
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- Rmse: 0.7145
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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: 3e-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: 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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| 0.6478 | 1.0 | 1000 | 0.7235 | 0.6742 |
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| 0.5231 | 2.0 | 2000 | 0.6490 | 0.7145 |
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| 0.3654 | 3.0 | 3000 | 0.9078 | 0.6434 |
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| 0.2606 | 4.0 | 4000 | 1.2709 | 0.6738 |
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| 0.1703 | 5.0 | 5000 | 1.6260 | 0.6595 |
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| 0.0859 | 6.0 | 6000 | 1.9016 | 0.6592 |
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| 0.0593 | 7.0 | 7000 | 1.9951 | 0.6656 |
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| 0.0412 | 8.0 | 8000 | 2.1283 | 0.6771 |
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| 0.0357 | 9.0 | 9000 | 2.1523 | 0.6819 |
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| 0.028 | 10.0 | 10000 | 2.1537 | 0.6786 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.0
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- Tokenizers 0.13.3
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