Downloads · 30 days
6
14% of all-time downloads
BioMedRoBERTa-finetuned-valid-testing-0.0001-32
pabRomero/BioMedRoBERTa-finetuned-valid-testing-0.0001-32
BioMedRoBERTa-finetuned-valid-testing-0.0001-32 is a token classification model from pabRomero. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
44
Public
Parameters
124M
2.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors496 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Sep 5, 2024
- Updated
- Sep 5, 2024
- SHA
- 428c139f
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. -->
BioMedRoBERTa-finetuned-valid-testing-0.0001-32
This model is a fine-tuned version of allenai/biomed_roberta_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0835
- Precision: 0.8178
- Recall: 0.8281
- F1: 0.8229
- Accuracy: 0.9769
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 209 | 0.0882 | 0.7639 | 0.7805 | 0.7721 | 0.9718 |
| No log | 2.0 | 418 | 0.0735 | 0.8259 | 0.8222 | 0.8240 | 0.9775 |
| 0.2568 | 3.0 | 627 | 0.0779 | 0.8060 | 0.8110 | 0.8085 | 0.9746 |
| 0.2568 | 4.0 | 836 | 0.0815 | 0.8062 | 0.8245 | 0.8152 | 0.9768 |
| 0.0375 | 5.0 | 1045 | 0.0835 | 0.8178 | 0.8281 | 0.8229 | 0.9769 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- Created
- Sep 5, 2024
- Updated
- Sep 5, 2024