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---
license: apache-2.0
base_model: irfanamal/distilbert_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_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. -->
# distilbert_science_multiple_choice
This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1067
- Accuracy: 0.6
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2754 | 1.0 | 12 | 1.1916 | 0.55 |
| 1.142 | 2.0 | 24 | 1.1608 | 0.55 |
| 1.0688 | 3.0 | 36 | 1.1239 | 0.55 |
| 0.9401 | 4.0 | 48 | 1.1163 | 0.55 |
| 0.9029 | 5.0 | 60 | 1.1077 | 0.6 |
| 0.7597 | 6.0 | 72 | 1.0713 | 0.6 |
| 0.7811 | 7.0 | 84 | 1.0723 | 0.6 |
| 0.7215 | 8.0 | 96 | 1.1225 | 0.6 |
| 0.6318 | 9.0 | 108 | 1.1065 | 0.6 |
| 0.6308 | 10.0 | 120 | 1.0958 | 0.6 |
| 0.6369 | 11.0 | 132 | 1.1067 | 0.6 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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