Downloads · 30 days
18
10% of all-time downloads
modernbert-base-conll2012_ontonotesv5-english_v4-ner
fongios/modernbert-base-conll2012_ontonotesv5-english_v4-ner
modernbert-base-conll2012_ontonotesv5-english_v4-ner is a token classification model from fongios. Use it when you need labels on individual words, such as names. 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
184
Public
Parameters
150M
3.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors299 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jan 8, 2025
- Updated
- Jan 15, 2025
- SHA
- 082cb1ee
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. -->
modernbert-base-conll2012_ontonotesv5-english_v4-ner
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0679
- Precision: 0.8636
- Recall: 0.8704
- F1: 0.8670
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.0698 | 1.0 | 2350 | 0.0795 | 0.8121 | 0.8344 | 0.8231 |
| 0.0356 | 2.0 | 4700 | 0.0707 | 0.8438 | 0.8575 | 0.8506 |
| 0.0184 | 3.0 | 7050 | 0.0795 | 0.8461 | 0.8567 | 0.8513 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jan 8, 2025
- Updated
- Jan 15, 2025