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pollen-ner2-450
DanielNRU/pollen-ner2-450
pollen-ner2-450 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
- 34d82283
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-ner2-450
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: 0.4605
- Precision: 0.4883
- Recall: 0.6305
- F1: 0.5504
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 | 57 | 0.5754 | 0.4231 | 0.5361 | 0.4730 |
| No log | 2.0 | 114 | 0.5404 | 0.4237 | 0.5462 | 0.4772 |
| No log | 3.0 | 171 | 0.5230 | 0.4407 | 0.5743 | 0.4987 |
| No log | 4.0 | 228 | 0.5053 | 0.4470 | 0.5843 | 0.5065 |
| No log | 5.0 | 285 | 0.4844 | 0.4619 | 0.5843 | 0.5160 |
| No log | 6.0 | 342 | 0.4810 | 0.4708 | 0.6145 | 0.5331 |
| No log | 7.0 | 399 | 0.4710 | 0.4784 | 0.6225 | 0.5410 |
| No log | 8.0 | 456 | 0.4631 | 0.4822 | 0.6245 | 0.5442 |
| 0.9019 | 9.0 | 513 | 0.4615 | 0.4852 | 0.6265 | 0.5469 |
| 0.9019 | 10.0 | 570 | 0.4605 | 0.4883 | 0.6305 | 0.5504 |
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