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pollen-ner2-400
DanielNRU/pollen-ner2-400
pollen-ner2-400 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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At a glance
- Library
- peft
- Access
- Public
- Created
- May 22, 2025
- Updated
- May 22, 2025
- SHA
- f61e2de3
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-ner2-400
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: 0.6034
- Precision: 0.4117
- Recall: 0.4960
- F1: 0.4499
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 | 50 | 0.8021 | 0.3428 | 0.1948 | 0.2484 |
| No log | 2.0 | 100 | 0.7462 | 0.3190 | 0.2390 | 0.2732 |
| No log | 3.0 | 150 | 0.7122 | 0.3388 | 0.3293 | 0.3340 |
| No log | 4.0 | 200 | 0.6697 | 0.3721 | 0.3594 | 0.3657 |
| No log | 5.0 | 250 | 0.6542 | 0.3978 | 0.4297 | 0.4131 |
| No log | 6.0 | 300 | 0.6287 | 0.4071 | 0.4357 | 0.4210 |
| No log | 7.0 | 350 | 0.6155 | 0.4011 | 0.4518 | 0.4249 |
| No log | 8.0 | 400 | 0.6096 | 0.4068 | 0.4779 | 0.4395 |
| No log | 9.0 | 450 | 0.6042 | 0.4132 | 0.4920 | 0.4491 |
| 1.1014 | 10.0 | 500 | 0.6034 | 0.4117 | 0.4960 | 0.4499 |
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