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pollen-ner2-350
DanielNRU/pollen-ner2-350
pollen-ner2-350 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
- 079c1ebc
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-ner2-350
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: 0.8648
- Precision: 0.4745
- Recall: 0.1305
- F1: 0.2047
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 | 44 | 1.1176 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 88 | 1.0785 | 0.2143 | 0.0060 | 0.0117 |
| No log | 3.0 | 132 | 1.0249 | 0.3478 | 0.0161 | 0.0307 |
| No log | 4.0 | 176 | 0.9895 | 0.4524 | 0.0382 | 0.0704 |
| No log | 5.0 | 220 | 0.9502 | 0.5088 | 0.0582 | 0.1045 |
| No log | 6.0 | 264 | 0.9204 | 0.4559 | 0.0622 | 0.1095 |
| No log | 7.0 | 308 | 0.8944 | 0.4819 | 0.0803 | 0.1377 |
| No log | 8.0 | 352 | 0.8794 | 0.4685 | 0.1044 | 0.1708 |
| No log | 9.0 | 396 | 0.8661 | 0.472 | 0.1185 | 0.1894 |
| No log | 10.0 | 440 | 0.8648 | 0.4745 | 0.1305 | 0.2047 |
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