update model card README.md
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README.md
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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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model-index:
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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.
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- Rmse: 0.
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## Model description
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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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.
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### Framework versions
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- Transformers 4.
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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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---
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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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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: 0.5962
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- Rmse: 0.6703
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## Model description
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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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- lr_scheduler_warmup_steps: 500
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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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| 0.6795 | 4.0 | 500 | 0.5962 | 0.6703 |
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| 0.1913 | 8.0 | 1000 | 1.0264 | 0.6887 |
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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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