Downloads · 30 days
16
1% of all-time downloads
aristo-roberta-finetuned-csqa
danlou/aristo-roberta-finetuned-csqa
aristo-roberta-finetuned-csqa is a multiple choice model from danlou. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.1K
Public
Repo size
2.8 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.4 GB · 100%
At a glance
- Task
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 23, 2021
- SHA
- 9dd69c0d
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
aristo-roberta-finetuned-csqa
This model is a fine-tuned version of LIAMF-USP/aristo-roberta on the commonsense_qa dataset. It achieves the following results on the evaluation set:
- Loss: 1.2187
- Accuracy: 0.7305
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: 1e-05
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.131 | 1.0 | 609 | 0.7109 | 0.7232 |
| 0.6957 | 2.0 | 1218 | 0.6912 | 0.7346 |
| 0.459 | 3.0 | 1827 | 0.8364 | 0.7305 |
| 0.3063 | 4.0 | 2436 | 1.0595 | 0.7322 |
| 0.2283 | 5.0 | 3045 | 1.2187 | 0.7305 |
Framework versions
- Transformers 4.9.0
- Pytorch 1.9.0
- Datasets 1.10.2
- Tokenizers 0.10.3
- Task
- multiple choice
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 2, 2022
- Updated
- Jul 23, 2021