metadata
license: apache-2.0
base_model: irfanamal/distilbert_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_science_multiple_choice
results: []
distilbert_science_multiple_choice
This model is a fine-tuned version of irfanamal/distilbert_multiple_choice on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5628
- 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 |
|---|---|---|---|---|
| 1.4753 | 1.0 | 12 | 1.4752 | 0.4 |
| 1.3861 | 2.0 | 24 | 1.4672 | 0.4 |
| 1.3169 | 3.0 | 36 | 1.4031 | 0.45 |
| 1.2006 | 4.0 | 48 | 1.4479 | 0.4 |
| 1.1849 | 5.0 | 60 | 1.4765 | 0.4 |
| 1.1181 | 6.0 | 72 | 1.4869 | 0.4 |
| 1.0861 | 7.0 | 84 | 1.4524 | 0.4 |
| 1.0234 | 8.0 | 96 | 1.5183 | 0.35 |
| 0.9677 | 9.0 | 108 | 1.4981 | 0.35 |
| 0.9281 | 10.0 | 120 | 1.5195 | 0.4 |
| 0.919 | 11.0 | 132 | 1.5218 | 0.4 |
| 0.8673 | 12.0 | 144 | 1.5395 | 0.4 |
| 0.8 | 13.0 | 156 | 1.5628 | 0.4 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3