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DanielNRU/
pollen-ner2-800

Name: pollen-ner2-800
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

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pollen-ner2-800

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: 0.2265
Precision: 0.7546
Recall: 0.8273
F1: 0.7893

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	100	0.2447	0.7059	0.8193	0.7584
No log	2.0	200	0.2398	0.7180	0.8233	0.7671
No log	3.0	300	0.2361	0.7326	0.8253	0.7762
No log	4.0	400	0.2313	0.7406	0.8313	0.7833
0.5116	5.0	500	0.2265	0.7546	0.8273	0.7893
0.5116	6.0	600	0.2334	0.7220	0.8293	0.7720
0.5116	7.0	700	0.2255	0.7446	0.8313	0.7856

Framework versions

PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1

DanielNRU/pollen-ner2-800

pollen-ner2-800

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DanielNRU/
pollen-ner2-800