---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr1e-8Wd0.02E20
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RobertaLr1e-8Wd0.02E20

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: 3.2435

## 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: 1e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9511        | 1.0   | 72   | 3.9642          |
| 2.6869        | 2.0   | 144  | 3.8774          |
| 3.0261        | 3.0   | 216  | 3.7963          |
| 2.659         | 4.0   | 288  | 3.7220          |
| 5.0333        | 5.0   | 360  | 3.6540          |
| 4.4433        | 6.0   | 432  | 3.5911          |
| 4.8192        | 7.0   | 504  | 3.5341          |
| 3.7868        | 8.0   | 576  | 3.4826          |
| 2.4543        | 9.0   | 648  | 3.4379          |
| 2.4081        | 10.0  | 720  | 3.3981          |
| 4.04          | 11.0  | 792  | 3.3631          |
| 3.5419        | 12.0  | 864  | 3.3344          |
| 2.8603        | 13.0  | 936  | 3.3092          |
| 4.191         | 14.0  | 1008 | 3.2884          |
| 3.1615        | 15.0  | 1080 | 3.2721          |
| 2.8836        | 16.0  | 1152 | 3.2593          |
| 4.573         | 17.0  | 1224 | 3.2509          |
| 2.5001        | 18.0  | 1296 | 3.2459          |
| 3.3777        | 19.0  | 1368 | 3.2438          |
| 2.5643        | 20.0  | 1440 | 3.2435          |


### Framework versions

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