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DepRoBERTa-2ndStage
This model is a fine-tuned version of rafalposwiata/deproberta-large-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6330
- Accuracy: 0.855
- F1: 0.9134
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 469 | 0.3572 | 0.8617 | 0.9224 |
0.4953 | 2.0 | 938 | 0.3593 | 0.8783 | 0.9315 |
0.3493 | 3.0 | 1407 | 0.4274 | 0.8483 | 0.9091 |
0.313 | 4.0 | 1876 | 0.5488 | 0.8617 | 0.9187 |
0.2622 | 5.0 | 2345 | 0.6330 | 0.855 | 0.9134 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3