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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: elvis_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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# elvis_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: 0.6325
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- Rmse: 0.6731
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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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| 0.6635 | 1.0 | 1000 | 0.6325 | 0.6731 |
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| 0.5302 | 2.0 | 2000 | 0.6340 | 0.6797 |
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| 0.3606 | 3.0 | 3000 | 0.9009 | 0.6481 |
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| 0.2501 | 4.0 | 4000 | 1.4259 | 0.6671 |
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| 0.1369 | 5.0 | 5000 | 1.6598 | 0.6823 |
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| 0.0979 | 6.0 | 6000 | 1.8117 | 0.6477 |
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| 0.0495 | 7.0 | 7000 | 1.9325 | 0.6504 |
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| 0.0388 | 8.0 | 8000 | 2.0611 | 0.6745 |
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| 0.0321 | 9.0 | 9000 | 2.1235 | 0.6734 |
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| 0.0233 | 10.0 | 10000 | 2.1389 | 0.6618 |
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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 2.13.1
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- Tokenizers 0.13.3
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