|
---
|
|
tags:
|
|
- generated_from_trainer
|
|
base_model: klue/roberta-base
|
|
model-index:
|
|
- name: roberta-base-finetuned-nmrv
|
|
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. -->
|
|
|
|
# roberta-base-finetuned-nmrv
|
|
|
|
This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.4680
|
|
|
|
## 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: 3.0
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-----:|:-----:|:---------------:|
|
|
| 0.3653 | 1.0 | 6250 | 0.3319 |
|
|
| 0.2665 | 2.0 | 12500 | 0.3970 |
|
|
| 0.1822 | 3.0 | 18750 | 0.4680 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.40.2
|
|
- Pytorch 2.3.0+cu118
|
|
- Datasets 2.19.1
|
|
- Tokenizers 0.19.1
|
|
|
