pogny-32-0.00005-fin
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: 1.2783
- Accuracy: 0.7262
- F1: 0.7244
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: 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 |
|---|---|---|---|---|---|
| 0.2594 | 1.0 | 2492 | 0.9806 | 0.7277 | 0.7255 |
| 0.1776 | 2.0 | 4984 | 1.1612 | 0.7260 | 0.7243 |
| 0.1292 | 3.0 | 7476 | 1.2783 | 0.7262 | 0.7244 |
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-32-0.00005-fin
Base model
klue/roberta-large