Downloads · 30 days
10
32% of all-time downloads
results_slang
Dru22/results_slang
results_slang is a token classification model from Dru22. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
31
Public
Parameters
109M
436 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025
- SHA
- e87ce95b
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. -->
results_slang
This model is a fine-tuned version of l3cube-pune/hing-bert-lid on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2250
- Precision: 1.0
- Recall: 0.2
- F1: 0.3333
- Accuracy: 0.4
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: 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 1.0981 | 0.3333 | 0.25 | 0.2857 | 0.5 |
| No log | 2.0 | 2 | 1.0697 | 0.3333 | 0.25 | 0.2857 | 0.5 |
| No log | 3.0 | 3 | 1.0551 | 0.3333 | 0.25 | 0.2857 | 0.5 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025