Downloads · 30 days
5
1% of all-time downloads
bsc-bio-ehr-es-finetuned-clinais
joheras/bsc-bio-ehr-es-finetuned-clinais
bsc-bio-ehr-es-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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
382
Public
Parameters
125M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 50%
Parameter types
How the weights are stored.
F32125M · 100%
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. -->
bsc-bio-ehr-es-finetuned-clinais
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3590
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 | 172 | 1.4431 |
| 1.4997 | 2.0 | 344 | 1.3971 |
| 1.4997 | 3.0 | 516 | 1.3738 |
| 1.3825 | 4.0 | 688 | 1.3468 |
| 1.3825 | 5.0 | 860 | 1.3844 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Mar 20, 2023
- Updated
- Apr 19, 2023