metadata
tags:
- generated_from_trainer
base_model: klue/roberta-base
model-index:
- name: roberta-base-finetuned-emotion-aug
results: []
roberta-base-finetuned-emotion-aug
This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0248
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2116 | 1.0 | 188 | 0.0409 |
| 0.0166 | 2.0 | 376 | 0.0235 |
| 0.0047 | 3.0 | 564 | 0.0248 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1