---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr6.906e-08Wd0.0207E30
  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. -->

# RobertaLr6.906e-08Wd0.0207E30

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: 1.1220

## 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: 6.906e-08
- 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: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.0029        | 1.0   | 1124  | 3.8479          |
| 2.853         | 2.0   | 2248  | 2.7678          |
| 1.5129        | 3.0   | 3372  | 2.2366          |
| 1.9825        | 4.0   | 4496  | 1.9843          |
| 1.1715        | 5.0   | 5620  | 1.8204          |
| 0.8653        | 6.0   | 6744  | 1.6976          |
| 2.3326        | 7.0   | 7868  | 1.6087          |
| 1.3648        | 8.0   | 8992  | 1.5312          |
| 2.1233        | 9.0   | 10116 | 1.4714          |
| 1.6096        | 10.0  | 11240 | 1.4175          |
| 1.573         | 11.0  | 12364 | 1.3730          |
| 2.0344        | 12.0  | 13488 | 1.3369          |
| 1.3262        | 13.0  | 14612 | 1.3031          |
| 0.6578        | 14.0  | 15736 | 1.2779          |
| 1.9317        | 15.0  | 16860 | 1.2524          |
| 2.3933        | 16.0  | 17984 | 1.2323          |
| 1.2294        | 17.0  | 19108 | 1.2146          |
| 1.3428        | 18.0  | 20232 | 1.1984          |
| 0.6418        | 19.0  | 21356 | 1.1850          |
| 2.2177        | 20.0  | 22480 | 1.1729          |
| 1.3615        | 21.0  | 23604 | 1.1604          |
| 0.9407        | 22.0  | 24728 | 1.1519          |
| 1.5497        | 23.0  | 25852 | 1.1449          |
| 0.9906        | 24.0  | 26976 | 1.1379          |
| 1.2726        | 25.0  | 28100 | 1.1320          |
| 1.0019        | 26.0  | 29224 | 1.1278          |
| 0.5763        | 27.0  | 30348 | 1.1249          |
| 0.9258        | 28.0  | 31472 | 1.1231          |
| 0.5245        | 29.0  | 32596 | 1.1222          |
| 0.6106        | 30.0  | 33720 | 1.1220          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.5.0
- Datasets 2.19.1
- Tokenizers 0.19.1