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JT_RV3_model
Igorica111/JT_RV3_model
JT_RV3_model is a token classification model from Igorica111. 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. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 17, 2026
- SHA
- bdd8e3a5
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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. -->
JT_RV3_model
This model is a fine-tuned version of EMBEDDIA/crosloengual-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2677
- Precision: 0.9469
- Recall: 0.9474
- F1: 0.9471
- Accuracy: 0.9569
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2244 | 1.0 | 1905 | 0.1890 | 0.9381 | 0.9376 | 0.9379 | 0.9489 |
| 0.1454 | 2.0 | 3810 | 0.1732 | 0.9428 | 0.9435 | 0.9432 | 0.9534 |
| 0.1061 | 3.0 | 5715 | 0.1728 | 0.9460 | 0.9460 | 0.9460 | 0.9559 |
| 0.0783 | 4.0 | 7620 | 0.1864 | 0.9465 | 0.9462 | 0.9464 | 0.9563 |
| 0.0658 | 5.0 | 9525 | 0.1990 | 0.9449 | 0.9442 | 0.9445 | 0.9550 |
| 0.0409 | 6.0 | 11430 | 0.2166 | 0.9461 | 0.9465 | 0.9463 | 0.9564 |
| 0.0329 | 7.0 | 13335 | 0.2382 | 0.9459 | 0.9466 | 0.9462 | 0.9561 |
| 0.0251 | 8.0 | 15240 | 0.2519 | 0.9464 | 0.9467 | 0.9466 | 0.9564 |
| 0.0195 | 9.0 | 17145 | 0.2625 | 0.9462 | 0.9473 | 0.9467 | 0.9566 |
| 0.0144 | 10.0 | 19050 | 0.2677 | 0.9469 | 0.9474 | 0.9471 | 0.9569 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- May 16, 2026
- Updated
- May 17, 2026