metadata
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_multiple_choice
results: []
electra_multiple_choice
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5073
- Accuracy: 0.465
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5492 | 1.0 | 407 | 1.4459 | 0.455 |
| 1.3622 | 2.0 | 814 | 1.3625 | 0.43 |
| 1.237 | 3.0 | 1221 | 1.3281 | 0.465 |
| 1.1388 | 4.0 | 1628 | 1.3123 | 0.445 |
| 1.0276 | 5.0 | 2035 | 1.2981 | 0.455 |
| 0.9412 | 6.0 | 2442 | 1.3247 | 0.45 |
| 0.8528 | 7.0 | 2849 | 1.3685 | 0.45 |
| 0.7686 | 8.0 | 3256 | 1.4333 | 0.44 |
| 0.6779 | 9.0 | 3663 | 1.4563 | 0.42 |
| 0.6231 | 10.0 | 4070 | 1.5073 | 0.465 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3