Downloads · 30 days
18
27% of all-time downloads
xlm-roberta-base-finetuned-ours-DS
IIIT-L/xlm-roberta-base-finetuned-ours-DS
xlm-roberta-base-finetuned-ours-DS is a text classification model from IIIT-L. Use it when you need a label for a piece of text. 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
66
Public
Repo size
3.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 9, 2022
- Updated
- Sep 9, 2022
- SHA
- a96a8e15
Try a prompt
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. -->
xlm-roberta-base-finetuned-ours-DS
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9899
- Accuracy: 0.725
- Precision: 0.6875
- Recall: 0.6723
- F1: 0.6779
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: 1.6820964947491663e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9962 | 1.99 | 199 | 0.8025 | 0.59 | 0.6055 | 0.5507 | 0.4746 |
| 0.6724 | 3.98 | 398 | 0.8205 | 0.705 | 0.6678 | 0.6520 | 0.6492 |
| 0.4259 | 5.97 | 597 | 0.9899 | 0.725 | 0.6875 | 0.6723 | 0.6779 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 9, 2022
- Updated
- Sep 9, 2022