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---
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
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