pogny-16-0.00002-all
This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5154
- Accuracy: 0.7210
- F1: 0.7193
Model description
More information needed
Intended uses & limitations
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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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2906 | 1.0 | 5108 | 1.0767 | 0.7189 | 0.7147 |
| 0.2002 | 2.0 | 10216 | 1.1983 | 0.7199 | 0.7181 |
| 0.1143 | 3.0 | 15324 | 1.5154 | 0.7210 | 0.7193 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0a0+b5021ba
- Datasets 2.6.2
- Tokenizers 0.14.1
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Model tree for bella05/pogny-16-0.00002-all
Base model
klue/roberta-large