Downloads · 30 days
12
5% of all-time downloads
xlm-roberta-large-finetuned-clinais
joheras/xlm-roberta-large-finetuned-clinais
xlm-roberta-large-finetuned-clinais is a fill-mask model from joheras. Use it when you need the model to fill a missing word. 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
246
Public
Repo size
11.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 14, 2023
- Updated
- Mar 15, 2023
- SHA
- bd7af550
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-large-finetuned-clinais
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3304
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: 2e-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 |
|---|---|---|---|
| No log | 1.0 | 223 | 1.4252 |
| 1.5639 | 2.0 | 446 | 1.3926 |
| 1.5639 | 3.0 | 669 | 1.3191 |
| 1.3607 | 4.0 | 892 | 1.2716 |
| 1.3607 | 5.0 | 1115 | 1.2903 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 14, 2023
- Updated
- Mar 15, 2023