metadata
license: apache-2.0
base_model: irfanamal/bert_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_science_multiple_choice
results: []
bert_science_multiple_choice
This model is a fine-tuned version of irfanamal/bert_multiple_choice on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2269
- Accuracy: 0.5
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-07
- 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 |
|---|---|---|---|---|
| 1.4597 | 1.0 | 12 | 1.2031 | 0.5 |
| 1.4484 | 2.0 | 24 | 1.2057 | 0.5 |
| 1.4718 | 3.0 | 36 | 1.2066 | 0.5 |
| 1.4246 | 4.0 | 48 | 1.2105 | 0.5 |
| 1.4013 | 5.0 | 60 | 1.2136 | 0.5 |
| 1.3983 | 6.0 | 72 | 1.2179 | 0.5 |
| 1.471 | 7.0 | 84 | 1.2231 | 0.5 |
| 1.4615 | 8.0 | 96 | 1.2285 | 0.5 |
| 1.4289 | 9.0 | 108 | 1.2276 | 0.5 |
| 1.4712 | 10.0 | 120 | 1.2255 | 0.5 |
| 1.3966 | 11.0 | 132 | 1.2269 | 0.5 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3