Downloads · 30 days
4
6% of all-time downloads
KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned is a multiple choice model from Ariffiq99. 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
71
Public
Parameters
278M
7.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- c493e20a
Base models
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. -->
KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_CRAB_COPA_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0274
- F1: 0.7715
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6977 | 1.0 | 5196 | 0.6451 | 0.7384 |
| 0.5603 | 2.0 | 10392 | 0.6679 | 0.7591 |
| 0.4661 | 3.0 | 15588 | 0.6312 | 0.7684 |
| 0.3631 | 4.0 | 20784 | 0.7372 | 0.7654 |
| 0.2843 | 5.0 | 25980 | 0.7695 | 0.7680 |
| 0.2361 | 6.0 | 31176 | 0.9795 | 0.7702 |
| 0.2076 | 7.0 | 36372 | 1.0274 | 0.7715 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024