Downloads · 30 days
20
17% of all-time downloads
xlm-turkish-ner
meryemmm22/xlm-turkish-ner
xlm-turkish-ner is a token classification model from meryemmm22. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
119
Public
Parameters
559M
22.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Feb 28, 2025
- SHA
- be95e249
Try a prompt
Base models
Datasets
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. -->
xlm-turkish-ner
This model is a fine-tuned version of xlm-roberta-large on the turkish_ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.2836
- F1: 0.6578
- Precision: 0.6670
- Recall: 0.6489
- Accuracy: 0.9114
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2704 | 1.0 | 1250 | 0.2745 | 0.6153 | 0.6250 | 0.6059 | 0.8985 |
| 0.2047 | 2.0 | 2500 | 0.2656 | 0.6372 | 0.6429 | 0.6315 | 0.9046 |
| 0.1646 | 3.0 | 3750 | 0.2628 | 0.6560 | 0.6839 | 0.6303 | 0.9109 |
| 0.1256 | 4.0 | 5000 | 0.2895 | 0.6561 | 0.6641 | 0.6482 | 0.9092 |
| 0.0953 | 5.0 | 6250 | 0.3224 | 0.6555 | 0.6554 | 0.6556 | 0.9088 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 27, 2025
- Updated
- Feb 28, 2025