File size: 1,797 Bytes
0dacafb f2f6880 0dacafb f2f6880 0dacafb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
license: mit
base_model: irfanamal/roberta_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_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. -->
# roberta_science_multiple_choice
This model is a fine-tuned version of [irfanamal/roberta_multiple_choice](https://huggingface.co/irfanamal/roberta_multiple_choice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2327
- Accuracy: 0.55
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2768 | 1.0 | 12 | 1.1911 | 0.5 |
| 1.0332 | 2.0 | 24 | 1.1788 | 0.5 |
| 1.0537 | 3.0 | 36 | 1.1820 | 0.5 |
| 0.8868 | 4.0 | 48 | 1.1830 | 0.5 |
| 0.8634 | 5.0 | 60 | 1.2148 | 0.5 |
| 0.7732 | 6.0 | 72 | 1.2242 | 0.5 |
| 0.7369 | 7.0 | 84 | 1.2327 | 0.55 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|