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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-EnglishLawAI_roberta_base_version4
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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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# roberta-base-EnglishLawAI_roberta_base_version4
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8089
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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: 32
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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: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| 2.3575 | 1.0 | 23702 | 2.1592 |
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| 2.2419 | 2.0 | 47404 | 2.1005 |
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| 2.1663 | 3.0 | 71106 | 2.0487 |
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| 2.1013 | 4.0 | 94808 | 2.0135 |
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| 2.0497 | 5.0 | 118510 | 1.9840 |
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| 1.9968 | 6.0 | 142212 | 1.9398 |
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| 1.9507 | 7.0 | 165914 | 1.9163 |
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| 1.9076 | 8.0 | 189616 | 1.8893 |
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| 1.8662 | 9.0 | 213318 | 1.8604 |
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| 1.8264 | 10.0 | 237020 | 1.8416 |
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| 1.7927 | 11.0 | 260722 | 1.8134 |
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| 1.7641 | 12.0 | 284424 | 1.8089 |
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### Framework versions
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- Transformers 4.21.1
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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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