1.77 kB
--- | |
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 | |
args: ynat | |
metrics: | |
- name: F1 | |
type: f1 | |
value: 0.8669116640755216 | |
--- | |
<!-- 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: 0.3710 | |
- F1: 0.8669 | |
## 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: 256 | |
- eval_batch_size: 256 | |
- 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 | 179 | 0.4223 | 0.8549 | | |
| No log | 2.0 | 358 | 0.3710 | 0.8669 | | |
| 0.2576 | 3.0 | 537 | 0.3891 | 0.8631 | | |
| 0.2576 | 4.0 | 716 | 0.3968 | 0.8612 | | |
| 0.2576 | 5.0 | 895 | 0.4044 | 0.8617 | | |
### Framework versions | |
- Transformers 4.10.3 | |
- Pytorch 1.9.0+cu102 | |
- Datasets 1.12.1 | |
- Tokenizers 0.10.3 | |