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: 1.3921
- Accuracy: 0.544
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 |
---|---|---|---|---|
1.4555 | 1.0 | 1682 | 1.2794 | 0.504 |
1.2833 | 2.0 | 3364 | 1.2108 | 0.526 |
1.1745 | 3.0 | 5046 | 1.2324 | 0.566 |
1.0688 | 4.0 | 6728 | 1.2353 | 0.548 |
0.9659 | 5.0 | 8410 | 1.2815 | 0.556 |
0.8642 | 6.0 | 10092 | 1.3926 | 0.554 |
0.7652 | 7.0 | 11774 | 1.3921 | 0.544 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3