license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- squad_v2 | |
model-index: | |
- name: bart-base-finetuned-squad2 | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# bart-base-finetuned-squad2 | |
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the squad_v2 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.0446 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- 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 | | |
|:-------------:|:-----:|:-----:|:---------------:| | |
| 0.9981 | 1.0 | 16319 | 0.9607 | | |
| 0.7521 | 2.0 | 32638 | 1.0446 | | |
### Framework versions | |
- Transformers 4.20.1 | |
- Pytorch 1.12.0+cu113 | |
- Datasets 2.3.2 | |
- Tokenizers 0.12.1 | |