|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
- Multiple Choice |
|
metrics: |
|
- accuracy |
|
pipeline_tag: question-answering |
|
base_model: bert-base-uncased |
|
model-index: |
|
- name: bert-base-uncased-Figurative_Language |
|
results: [] |
|
--- |
|
|
|
# bert-base-uncased-Figurative_Language |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased). |
|
|
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7629 |
|
- Accuracy: 0.8124 |
|
|
|
## Model description |
|
|
|
For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Multiple%20Choice/Figurative%20Language/Figurative%20Language%20-%20Multiple%20Choice%20Using%20BERT.ipynb |
|
|
|
## Intended uses & limitations |
|
|
|
This model is intended to demonstrate my ability to solve a complex problem using technology. |
|
|
|
## Training and evaluation data |
|
|
|
Dataset Source: https://huggingface.co/datasets/nightingal3/fig-qa |
|
|
|
**Histogram of Input Lengths** |
|
|
|
 |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-05 |
|
- 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6961 | 1.0 | 539 | 0.6932 | 0.5190 | |
|
| 0.6595 | 2.0 | 1078 | 0.5326 | 0.7214 | |
|
| 0.4647 | 3.0 | 1617 | 0.4604 | 0.7948 | |
|
| 0.2884 | 4.0 | 2156 | 0.6204 | 0.8217 | |
|
| 0.1702 | 5.0 | 2695 | 0.7629 | 0.8124 | |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.1 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
