mdeberta-profane-final
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2269
- Accuracy: 0.9154
- Precision: 0.8684
- Recall: 0.8558
- F1: 0.8618
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 296 | 0.2324 | 0.9125 | 0.8672 | 0.8446 | 0.8552 |
| 0.3129 | 2.0 | 592 | 0.2081 | 0.9202 | 0.8814 | 0.8549 | 0.8673 |
| 0.3129 | 3.0 | 888 | 0.2155 | 0.9183 | 0.8747 | 0.8575 | 0.8657 |
| 0.2136 | 4.0 | 1184 | 0.2164 | 0.9154 | 0.8738 | 0.8464 | 0.8591 |
| 0.2136 | 5.0 | 1480 | 0.2269 | 0.9154 | 0.8684 | 0.8558 | 0.8618 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1