pollen-ner2-650

DanielNRU/pollen-ner2-650

pollen-ner2-650 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: f273523b

Base models

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

Model card

From the Hugging Face model README

pollen-ner2-650

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: 0.2844
Precision: 0.6701
Recall: 0.7871
F1: 0.7239

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	82	0.3143	0.6285	0.7610	0.6885
No log	2.0	164	0.3069	0.6459	0.7691	0.7021
No log	3.0	246	0.2976	0.6525	0.7691	0.7060
No log	4.0	328	0.2903	0.6672	0.7771	0.7180
No log	5.0	410	0.2978	0.6454	0.7932	0.7117
No log	6.0	492	0.2844	0.6701	0.7871	0.7239
0.6003	7.0	574	0.2880	0.6616	0.7892	0.7198
0.6003	8.0	656	0.2809	0.6638	0.7851	0.7194

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