Downloads · 30 days
7
6% of all-time downloads
xlm-roberta-large-finetuned-panx-ko
psh3333/xlm-roberta-large-finetuned-panx-ko
xlm-roberta-large-finetuned-panx-ko is a token classification model from psh3333. Use it when you need labels on individual words, such as names. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
112
Public
Repo size
29.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 99%
At a glance
- Task
- Token Classification
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 5, 2025
- Updated
- Aug 5, 2025
- SHA
- 187fca3f
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-roberta-large-finetuned-panx-ko
This model is a fine-tuned version of xlm-roberta-large on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.1649
- F1: 0.8934
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 587 | 0.2583 | 0.7471 |
| No log | 2.0 | 1174 | 0.1759 | 0.8449 |
| 0.5424 | 3.0 | 1761 | 0.1655 | 0.8648 |
| 0.5424 | 4.0 | 2348 | 0.1499 | 0.8796 |
| 0.1482 | 5.0 | 2935 | 0.1463 | 0.8805 |
| 0.1482 | 6.0 | 3522 | 0.1467 | 0.8823 |
| 0.1013 | 7.0 | 4109 | 0.1560 | 0.8850 |
| 0.1013 | 8.0 | 4696 | 0.1529 | 0.8879 |
| 0.0768 | 9.0 | 5283 | 0.1598 | 0.8909 |
| 0.0768 | 10.0 | 5870 | 0.1585 | 0.8943 |
| 0.0604 | 11.0 | 6457 | 0.1629 | 0.8920 |
| 0.0604 | 12.0 | 7044 | 0.1649 | 0.8934 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.6.0+cu124
- Datasets 1.16.1
- Tokenizers 0.21.2
- Task
- Token Classification
- Type
- xlm-roberta
- License
- mit
- Languages
- ko, en, ja, zh
- Created
- Aug 5, 2025
- Updated
- Aug 5, 2025