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---
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: finetuned-roberta-base-squad2-model-for-insurance-data
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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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# finetuned-roberta-base-squad2-model-for-insurance-data
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8120
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 22 | 2.4963 |
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| No log | 2.0 | 44 | 2.4585 |
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| No log | 3.0 | 66 | 2.4411 |
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| No log | 4.0 | 88 | 2.4786 |
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| No log | 5.0 | 110 | 2.6450 |
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| No log | 6.0 | 132 | 2.6954 |
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| No log | 7.0 | 154 | 2.7662 |
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| No log | 8.0 | 176 | 2.8120 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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