---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr4e-6Wd0.03
  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. -->

# RobertaLr4e-6Wd0.03

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: 0.5173

## 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: 4e-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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4961        | 1.0   | 72   | 1.0920          |
| 1.0065        | 2.0   | 144  | 0.7849          |
| 0.6863        | 3.0   | 216  | 0.7007          |
| 0.911         | 4.0   | 288  | 0.5794          |
| 0.3684        | 5.0   | 360  | 0.5731          |
| 0.0694        | 6.0   | 432  | 0.5524          |
| 0.2925        | 7.0   | 504  | 0.5576          |
| 0.578         | 8.0   | 576  | 0.5542          |
| 0.0254        | 9.0   | 648  | 0.5094          |
| 0.3163        | 10.0  | 720  | 0.5124          |
| 0.0452        | 11.0  | 792  | 0.5200          |
| 0.1349        | 12.0  | 864  | 0.5173          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1