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: 1.4409
- Accuracy: 0.61
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 |
|---|---|---|---|---|
| 1.4503 | 1.0 | 1713 | 1.2659 | 0.485 |
| 1.2726 | 2.0 | 3426 | 1.1611 | 0.52 |
| 1.1661 | 3.0 | 5139 | 1.0906 | 0.56 |
| 1.0649 | 4.0 | 6852 | 1.0425 | 0.58 |
| 0.9637 | 5.0 | 8565 | 1.0425 | 0.61 |
| 0.8681 | 6.0 | 10278 | 1.0039 | 0.62 |
| 0.7704 | 7.0 | 11991 | 1.0983 | 0.625 |
| 0.6871 | 8.0 | 13704 | 1.2018 | 0.62 |
| 0.6137 | 9.0 | 15417 | 1.2758 | 0.615 |
| 0.55 | 10.0 | 17130 | 1.3500 | 0.595 |
| 0.4966 | 11.0 | 18843 | 1.4409 | 0.61 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3