Downloads · 30 days
7
2% of all-time downloads
bertweet-covid19-base-uncased-finetuned-group_2
cristophersfr/bertweet-covid19-base-uncased-finetuned-group_2
bertweet-covid19-base-uncased-finetuned-group_2 is a fill-mask model from cristophersfr. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
335
Public
Repo size
1.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin540 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Oct 6, 2022
- Updated
- Oct 6, 2022
- SHA
- 623f0e37
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. -->
bertweet-covid19-base-uncased-finetuned-group_2
This model is a fine-tuned version of vinai/bertweet-covid19-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0149
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 2.5725 | 1.0 | 89 | 2.1218 |
| 2.1664 | 2.0 | 178 | 2.0290 |
| 2.1154 | 3.0 | 267 | 1.9471 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Oct 6, 2022
- Updated
- Oct 6, 2022