metadata
library_name: transformers
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-problematic-classifier-np
results: []
electra-problematic-classifier-np
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2560
- Accuracy: 0.938
- Auc: 0.977
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.6111 | 1.0 | 132 | 0.4996 | 0.924 | 0.968 |
| 0.4567 | 2.0 | 264 | 0.3629 | 0.916 | 0.973 |
| 0.3502 | 3.0 | 396 | 0.3241 | 0.88 | 0.976 |
| 0.2987 | 4.0 | 528 | 0.2722 | 0.92 | 0.977 |
| 0.2816 | 5.0 | 660 | 0.2560 | 0.938 | 0.977 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1