|
--- |
|
base_model: klue/roberta-large |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: IE_model |
|
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. --> |
|
|
|
# IE_model |
|
|
|
This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4341 |
|
- Accuracy: 0.9007 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.9432 | 1.0 | 574 | 0.5054 | 0.8537 | |
|
| 0.4765 | 2.0 | 1148 | 0.4133 | 0.8589 | |
|
| 0.4471 | 3.0 | 1722 | 0.4228 | 0.8693 | |
|
| 0.3666 | 4.0 | 2296 | 0.4627 | 0.8815 | |
|
| 0.3508 | 5.0 | 2870 | 0.3704 | 0.8833 | |
|
| 0.325 | 6.0 | 3444 | 0.3704 | 0.9024 | |
|
| 0.2662 | 7.0 | 4018 | 0.3733 | 0.9024 | |
|
| 0.226 | 8.0 | 4592 | 0.4024 | 0.8972 | |
|
| 0.1978 | 9.0 | 5166 | 0.4198 | 0.9042 | |
|
| 0.186 | 10.0 | 5740 | 0.4341 | 0.9007 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.15.2 |
|
|
