---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-squad2-finetuned-DouRC_squad
  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. -->

# roberta-base-squad2-finetuned-DouRC_squad

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: 1.3122
- Exact Match: 0.665
- F1: 0.5188

## 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: 2e-05
- train_batch_size: 56
- eval_batch_size: 56
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
| 1.0639        | 1.0   | 536  | 1.1383          | 0.69        | 0.5419 |
| 0.8267        | 2.0   | 1072 | 1.1227          | 0.685       | 0.5475 |
| 0.683         | 3.0   | 1608 | 1.1890          | 0.685       | 0.5436 |
| 0.5774        | 4.0   | 2144 | 1.2262          | 0.695       | 0.5595 |
| 0.4885        | 5.0   | 2680 | 1.3122          | 0.665       | 0.5188 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1