roberta-base-finetuned-ynat
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: 0.1554
- F1: 0.9566
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
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6942 | 0.91 | 250 | 0.1847 | 0.9464 |
| 0.1606 | 1.82 | 500 | 0.1518 | 0.9530 |
| 0.1071 | 2.74 | 750 | 0.1496 | 0.9550 |
| 0.0752 | 3.65 | 1000 | 0.1554 | 0.9566 |
| 0.0536 | 4.56 | 1250 | 0.1586 | 0.9578 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for Doowon96/roberta-base-finetuned-ynat_bench
Base model
klue/roberta-base