|
---
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- spearmanr
|
|
model-index:
|
|
- name: koelectra-sts-v0.4
|
|
results:
|
|
- task:
|
|
name: Text Classification
|
|
type: text-classification
|
|
metrics:
|
|
- name: Spearmanr
|
|
type: spearmanr
|
|
value: 0.9286505242442783
|
|
---
|
|
|
|
<!-- 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. -->
|
|
|
|
# koelectra-sts-v0.4
|
|
|
|
This model was trained from scratch on an unknown dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.3368
|
|
- Pearson: 0.9303
|
|
- Spearmanr: 0.9287
|
|
|
|
## 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: 16
|
|
- eval_batch_size: 16
|
|
- 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 | Pearson | Spearmanr |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
|
|
| 0.0345 | 1.0 | 730 | 0.3368 | 0.9303 | 0.9287 |
|
|
| 0.0343 | 2.0 | 1460 | 0.3368 | 0.9303 | 0.9287 |
|
|
| 0.0337 | 3.0 | 2190 | 0.3368 | 0.9303 | 0.9287 |
|
|
| 0.0345 | 4.0 | 2920 | 0.3368 | 0.9303 | 0.9287 |
|
|
| 0.0347 | 5.0 | 3650 | 0.3368 | 0.9303 | 0.9287 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.10.0
|
|
- Pytorch 1.10.1+cu113
|
|
- Datasets 1.17.0
|
|
- Tokenizers 0.10.3
|
|
|
