---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr3.024030044726418e-06Wd0.004218621374361941E20
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RobertaLr3.024030044726418e-06Wd0.004218621374361941E20

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: 0.2435

## 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: 3.024030044726418e-06
- 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0186        | 1.0   | 510   | 0.6067          |
| 1.0125        | 2.0   | 1020  | 0.4395          |
| 0.1619        | 3.0   | 1530  | 0.3656          |
| 0.2597        | 4.0   | 2040  | 0.3204          |
| 0.006         | 5.0   | 2550  | 0.2991          |
| 0.0046        | 6.0   | 3060  | 0.2798          |
| 0.0456        | 7.0   | 3570  | 0.2706          |
| 0.0833        | 8.0   | 4080  | 0.2442          |
| 0.0061        | 9.0   | 4590  | 0.2366          |
| 0.0636        | 10.0  | 5100  | 0.2461          |
| 0.4491        | 11.0  | 5610  | 0.2436          |
| 0.0047        | 12.0  | 6120  | 0.2466          |
| 0.3552        | 13.0  | 6630  | 0.2422          |
| 0.0023        | 14.0  | 7140  | 0.2441          |
| 0.0001        | 15.0  | 7650  | 0.2419          |
| 0.0007        | 16.0  | 8160  | 0.2595          |
| 0.001         | 17.0  | 8670  | 0.2407          |
| 0.0383        | 18.0  | 9180  | 0.2411          |
| 0.002         | 19.0  | 9690  | 0.2433          |
| 0.0114        | 20.0  | 10200 | 0.2435          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.19.1