metadata
library_name: transformers
license: apache-2.0
base_model: google/electra-large-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-large-discriminator-cpp-final
results: []
electra-large-discriminator-cpp-final
This model is a fine-tuned version of google/electra-large-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0564
- Accuracy: 0.9654
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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0926 | 0.125 | 1000 | 0.0443 | 0.9446 |
| 0.0565 | 0.25 | 2000 | 0.0480 | 0.9251 |
| 0.0442 | 0.375 | 3000 | 0.2126 | 0.8871 |
| 0.0383 | 0.5 | 4000 | 0.0716 | 0.9479 |
| 0.0332 | 0.625 | 5000 | 0.2383 | 0.8774 |
| 0.0253 | 0.75 | 6000 | 0.0347 | 0.9706 |
| 0.0168 | 0.875 | 7000 | 0.0347 | 0.9795 |
| 0.0117 | 1.0 | 8000 | 0.0564 | 0.9654 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1