license: cc-by-4.0 | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: roberta-base-squad2-finetuned-covid2 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# roberta-base-squad2-finetuned-covid2 | |
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.7159 | |
## 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: 3 | |
- eval_batch_size: 3 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 2 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:-----:|:---------------:| | |
| 0.5122 | 1.0 | 11135 | 0.6558 | | |
| 0.4513 | 2.0 | 22270 | 0.7159 | | |
### Framework versions | |
- Transformers 4.28.0 | |
- Pytorch 2.0.0 | |
- Datasets 2.1.0 | |
- Tokenizers 0.13.3 | |