Downloads · 30 days
12
6% of all-time downloads
bert-base-multilingual-cased-finetuned-conceptNet-te
deidaraTobi/bert-base-multilingual-cased-finetuned-conceptNet-te
bert-base-multilingual-cased-finetuned-conceptNet-te is a fill-mask model from deidaraTobi. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
218
Public
Parameters
178M
11.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors712 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 2, 2025
- Updated
- Apr 6, 2025
- SHA
- a354f3c6
Try a prompt
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. -->
bert-base-multilingual-cased-finetuned-conceptNet-te
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0456
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 45 | 1.3708 |
| No log | 2.0 | 90 | 1.2736 |
| No log | 3.0 | 135 | 1.1219 |
| No log | 4.0 | 180 | 1.3133 |
| 1.3974 | 5.0 | 225 | 1.2969 |
| 1.3974 | 6.0 | 270 | 1.2416 |
| 1.3974 | 7.0 | 315 | 1.2252 |
| 1.3974 | 8.0 | 360 | 1.1990 |
| 1.0679 | 9.0 | 405 | 1.0824 |
| 1.0679 | 10.0 | 450 | 1.0680 |
| 1.0679 | 11.0 | 495 | 1.0228 |
| 1.0679 | 12.0 | 540 | 1.1910 |
| 1.0679 | 13.0 | 585 | 1.0335 |
| 0.9271 | 14.0 | 630 | 1.0809 |
| 0.9271 | 15.0 | 675 | 1.0019 |
| 0.9271 | 16.0 | 720 | 1.0216 |
| 0.9271 | 17.0 | 765 | 1.1762 |
| 0.8418 | 18.0 | 810 | 0.9434 |
| 0.8418 | 19.0 | 855 | 1.0431 |
| 0.8418 | 20.0 | 900 | 1.0873 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 2, 2025
- Updated
- Apr 6, 2025