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pollen-ner2-750
DanielNRU/pollen-ner2-750
pollen-ner2-750 is a machine learning model from DanielNRU. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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.json3.1 MB · 46%
At a glance
- Library
- peft
- Access
- Public
- Created
- May 22, 2025
- Updated
- May 22, 2025
- SHA
- 96f70f44
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. -->
pollen-ner2-750
This model is a fine-tuned version of DeepPavlov/bert-base-bg-cs-pl-ru-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2426
- Precision: 0.7264
- Recall: 0.8052
- F1: 0.7638
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: 8
- eval_batch_size: 8
- seed: 42
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 94 | 0.2683 | 0.6950 | 0.7871 | 0.7382 |
| No log | 2.0 | 188 | 0.2686 | 0.6809 | 0.8012 | 0.7362 |
| No log | 3.0 | 282 | 0.2616 | 0.6961 | 0.7912 | 0.7406 |
| No log | 4.0 | 376 | 0.2646 | 0.6785 | 0.8052 | 0.7365 |
| No log | 5.0 | 470 | 0.2568 | 0.6899 | 0.8133 | 0.7465 |
| 0.5501 | 6.0 | 564 | 0.2519 | 0.7058 | 0.8092 | 0.7540 |
| 0.5501 | 7.0 | 658 | 0.2477 | 0.7072 | 0.8052 | 0.7531 |
| 0.5501 | 8.0 | 752 | 0.2426 | 0.7264 | 0.8052 | 0.7638 |
| 0.5501 | 9.0 | 846 | 0.2450 | 0.7110 | 0.8153 | 0.7596 |
| 0.5501 | 10.0 | 940 | 0.2456 | 0.7091 | 0.8173 | 0.7593 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- peft
- Created
- May 22, 2025
- Updated
- May 22, 2025