pollen-ner2-550

DanielNRU/pollen-ner2-550

pollen-ner2-550 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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Repo size

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Hugging Face

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.json3.1 MB · 46%

At a glance

Library: peft
Access: Public
Created: May 22, 2025
Updated: May 22, 2025
SHA: 71a9db0b

Base models

DeepPavlov/bert-base-bg-cs-pl-ru-cased

Model card

From the Hugging Face model README

pollen-ner2-550

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: 0.3432
Precision: 0.6156
Recall: 0.7269
F1: 0.6667

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	69	0.3899	0.5340	0.6948	0.6038
No log	2.0	138	0.3667	0.5738	0.6948	0.6285
No log	3.0	207	0.3638	0.5784	0.7108	0.6378
No log	4.0	276	0.3495	0.6007	0.7068	0.6494
No log	5.0	345	0.3547	0.5805	0.7169	0.6415
No log	6.0	414	0.3432	0.6156	0.7269	0.6667
No log	7.0	483	0.3453	0.6026	0.7369	0.6631
0.7026	8.0	552	0.3397	0.6142	0.7289	0.6667

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