|
--- |
|
license: apache-2.0 |
|
base_model: google/electra-base-discriminator |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: electra_multiple_choice |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# electra_multiple_choice |
|
|
|
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2639 |
|
- Accuracy: 0.58 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 1.4223 | 1.0 | 3207 | 1.1865 | 0.54 | |
|
| 1.2131 | 2.0 | 6414 | 1.0817 | 0.555 | |
|
| 1.0754 | 3.0 | 9621 | 1.0016 | 0.61 | |
|
| 0.9402 | 4.0 | 12828 | 0.9841 | 0.595 | |
|
| 0.8207 | 5.0 | 16035 | 0.9912 | 0.63 | |
|
| 0.7163 | 6.0 | 19242 | 1.0808 | 0.58 | |
|
| 0.6187 | 7.0 | 22449 | 1.0956 | 0.6 | |
|
| 0.5425 | 8.0 | 25656 | 1.1526 | 0.63 | |
|
| 0.4763 | 9.0 | 28863 | 1.2639 | 0.58 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
