pogny-32-0.00001-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: 1.8361
- Accuracy: 0.7189
- F1: 0.7172
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| 0.0974 | 1.0 | 2554 | 1.4482 | 0.7257 | 0.7216 |
| 0.0699 | 2.0 | 5108 | 1.6362 | 0.7202 | 0.7178 |
| 0.051 | 3.0 | 7662 | 1.8361 | 0.7189 | 0.7172 |
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-32-0.00001-all
Base model
klue/roberta-large