|
--- |
|
license: cc-by-sa-4.0 |
|
base_model: klue/bert-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- klue |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: bert-base-finetuned-ynat |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: klue |
|
type: klue |
|
config: ynat |
|
split: validation |
|
args: ynat |
|
metrics: |
|
- name: F1 |
|
type: f1 |
|
value: 0.8692770007099606 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bert-base-finetuned-ynat |
|
|
|
This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3761 |
|
- F1: 0.8693 |
|
|
|
## 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: 512 |
|
- eval_batch_size: 512 |
|
- 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 | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| No log | 1.0 | 90 | 0.4224 | 0.8604 | |
|
| No log | 2.0 | 180 | 0.4001 | 0.8656 | |
|
| No log | 3.0 | 270 | 0.3761 | 0.8693 | |
|
| No log | 4.0 | 360 | 0.3701 | 0.8685 | |
|
| No log | 5.0 | 450 | 0.3708 | 0.8688 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
