---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr4.736874483017473e-06Wd0.009579411474848759E20
  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. -->

# RobertaLr4.736874483017473e-06Wd0.009579411474848759E20

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: 0.1592

## 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: 4.736874483017473e-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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.427         | 1.0   | 541   | 0.2540          |
| 0.1727        | 2.0   | 1082  | 0.2023          |
| 0.0003        | 3.0   | 1623  | 0.1707          |
| 0.0013        | 4.0   | 2164  | 0.1500          |
| 0.0           | 5.0   | 2705  | 0.1500          |
| 0.0006        | 6.0   | 3246  | 0.1682          |
| 0.0508        | 7.0   | 3787  | 0.1603          |
| 0.0038        | 8.0   | 4328  | 0.1417          |
| 0.7646        | 9.0   | 4869  | 0.1419          |
| 0.0           | 10.0  | 5410  | 0.1465          |
| 0.0001        | 11.0  | 5951  | 0.1470          |
| 0.0027        | 12.0  | 6492  | 0.1636          |
| 0.0           | 13.0  | 7033  | 0.1579          |
| 0.0           | 14.0  | 7574  | 0.1606          |
| 0.0001        | 15.0  | 8115  | 0.1647          |
| 0.0008        | 16.0  | 8656  | 0.1574          |
| 0.0           | 17.0  | 9197  | 0.1604          |
| 0.0           | 18.0  | 9738  | 0.1687          |
| 0.0           | 19.0  | 10279 | 0.1580          |
| 0.0           | 20.0  | 10820 | 0.1592          |


### Framework versions

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