Downloads · 30 days
10
20% of all-time downloads
xlnet-large-cased-tass
judajaav/xlnet-large-cased-tass
xlnet-large-cased-tass is a text classification model from judajaav. Use it when you need a label for a piece of text. 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
50
Public
Parameters
361M
1.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.4 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlnet
- Access
- Public
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026
- SHA
- e92da964
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
This model is a fine-tuned version of xlnet-large-cased on the Tass dataset. It achieves the following results on the evaluation set:
- Loss: 1.0904
- Accuracy: 0.3890
- F1: 0.1867
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.2318 | 1.0 | 300 | 1.1063 | 0.3890 | 0.1867 |
| 2.2295 | 2.0 | 600 | 1.0896 | 0.3951 | 0.2030 |
| 2.1879 | 3.0 | 900 | 1.1029 | 0.3890 | 0.1867 |
| 2.2167 | 4.0 | 1200 | 1.0904 | 0.3890 | 0.1867 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026