|
--- |
|
license: apache-2.0 |
|
base_model: irfanamal/bert_multiple_choice |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert_science_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. --> |
|
|
|
# bert_science_multiple_choice |
|
|
|
This model is a fine-tuned version of [irfanamal/bert_multiple_choice](https://huggingface.co/irfanamal/bert_multiple_choice) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1939 |
|
- Accuracy: 0.4 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.2306 | 1.0 | 12 | 1.1937 | 0.45 | |
|
| 1.1243 | 2.0 | 24 | 1.1896 | 0.4 | |
|
| 1.0706 | 3.0 | 36 | 1.1906 | 0.45 | |
|
| 0.9598 | 4.0 | 48 | 1.1842 | 0.4 | |
|
| 0.8738 | 5.0 | 60 | 1.1924 | 0.4 | |
|
| 0.7774 | 6.0 | 72 | 1.1853 | 0.45 | |
|
| 0.8232 | 7.0 | 84 | 1.1934 | 0.45 | |
|
| 0.6855 | 8.0 | 96 | 1.1903 | 0.4 | |
|
| 0.6606 | 9.0 | 108 | 1.1939 | 0.4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
