---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr1e-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. -->

# RobertaLr1e-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: 0.8520

## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3625        | 1.0   | 72   | 1.8276          |
| 1.5154        | 2.0   | 144  | 1.4140          |
| 1.8637        | 3.0   | 216  | 1.2456          |
| 1.53          | 4.0   | 288  | 1.1137          |
| 1.0965        | 5.0   | 360  | 1.0372          |
| 0.3548        | 6.0   | 432  | 0.9753          |
| 0.709         | 7.0   | 504  | 0.9365          |
| 0.7221        | 8.0   | 576  | 0.9038          |
| 0.4642        | 9.0   | 648  | 0.8745          |
| 0.6543        | 10.0  | 720  | 0.8655          |
| 0.6377        | 11.0  | 792  | 0.8550          |
| 0.7143        | 12.0  | 864  | 0.8520          |


### Framework versions

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