---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-roberta-base-squad2-model-for-insurance-data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finetuned-roberta-base-squad2-model-for-insurance-data

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8120

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 22   | 2.4963          |
| No log        | 2.0   | 44   | 2.4585          |
| No log        | 3.0   | 66   | 2.4411          |
| No log        | 4.0   | 88   | 2.4786          |
| No log        | 5.0   | 110  | 2.6450          |
| No log        | 6.0   | 132  | 2.6954          |
| No log        | 7.0   | 154  | 2.7662          |
| No log        | 8.0   | 176  | 2.8120          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3