Downloads · 30 days
10
12% of all-time downloads
modernbert-match-user-52253
matiashoyl/modernbert-match-user-52253
modernbert-match-user-52253 is a text classification model from matiashoyl. Use it when you need a label for a piece of text. 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
84
Public
Parameters
150M
2.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors598 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Mar 3, 2025
- Updated
- Mar 3, 2025
- SHA
- 2be66c98
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-match-user-52253
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: 1.0358
- Accuracy: 0.7351
- F1: 0.7129
- Precision: 0.6998
- Recall: 0.7351
- F1 Class 0: 0.5
- F1 Class 1: 0.3279
- F1 Class 2: 0.2414
- F1 Class 3: 0.2642
- F1 Class 4: 0.8847
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 487
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | F1 Class 0 | F1 Class 1 | F1 Class 2 | F1 Class 3 | F1 Class 4 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0046 | 1.0 | 487 | 0.9157 | 0.7228 | 0.6993 | 0.7312 | 0.7228 | 0.375 | 0.3256 | 0.3043 | 0.2105 | 0.8832 |
| 0.8404 | 2.0 | 974 | 0.9610 | 0.7043 | 0.6338 | 0.6763 | 0.7043 | 0.1724 | 0.3019 | 0.1429 | 0.1404 | 0.8455 |
| 0.7642 | 3.0 | 1461 | 0.9060 | 0.7454 | 0.7145 | 0.7085 | 0.7454 | 0.5333 | 0.3077 | 0.2545 | 0.2174 | 0.8873 |
| 0.7429 | 4.0 | 1948 | 1.0358 | 0.7351 | 0.7129 | 0.6998 | 0.7351 | 0.5 | 0.3279 | 0.2414 | 0.2642 | 0.8847 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Mar 3, 2025
- Updated
- Mar 3, 2025