Downloads · 30 days
6
13% of all-time downloads
robbert-cosmetic-finetuned
ymelka/robbert-cosmetic-finetuned
robbert-cosmetic-finetuned is a fill-mask model from ymelka. 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
45
Public
Parameters
119M
476 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors476 MB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jul 7, 2024
- Updated
- Jul 7, 2024
- SHA
- 7c97bb70
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. -->
robbert-cosmetic-finetuned
This model is a fine-tuned version of DTAI-KULeuven/robbert-2022-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0319
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3373 | 1.0 | 569 | 1.1228 |
| 1.1452 | 2.0 | 1138 | 1.0415 |
| 1.0976 | 3.0 | 1707 | 1.0224 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 7, 2024
- Updated
- Jul 7, 2024