tags: | |
- generated_from_trainer | |
datasets: | |
- custom_squad_v2 | |
model-index: | |
- name: kobigbird-pure49-55481524 | |
results: [] | |
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# kobigbird-pure49-55481524 | |
This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the custom_squad_v2 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.1357 | |
## 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: 0.0005 | |
- train_batch_size: 32 | |
- eval_batch_size: 32 | |
- seed: 49 | |
- gradient_accumulation_steps: 8 | |
- total_train_batch_size: 256 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: cosine | |
- num_epochs: 2 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| No log | 0.99 | 42 | 1.2047 | | |
| No log | 1.99 | 84 | 1.1357 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.13.0+cu116 | |
- Datasets 2.8.0 | |
- Tokenizers 0.13.2 | |