library_name: transformers | |
base_model: klue/roberta-base | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
model-index: | |
- name: results | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# results | |
This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.7489 | |
- Accuracy: 0.845 | |
## 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: 5e-05 | |
- train_batch_size: 24 | |
- eval_batch_size: 24 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| No log | 1.0 | 417 | 0.4912 | 0.843 | | |
| 0.5273 | 2.0 | 834 | 0.5912 | 0.819 | | |
| 0.2796 | 3.0 | 1251 | 0.5553 | 0.828 | | |
| 0.1615 | 4.0 | 1668 | 0.7700 | 0.824 | | |
| 0.0832 | 5.0 | 2085 | 0.8004 | 0.834 | | |
### Framework versions | |
- Transformers 4.44.1 | |
- Pytorch 2.4.0+cu121 | |
- Datasets 2.21.0 | |
- Tokenizers 0.19.1 | |