DZ_2

alex-tmfv/DZ_2

DZ_2 is a token classification model from alex-tmfv. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

25% of all-time downloads

All-time downloads

Public

Parameters

33.2M

930 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors133 MB · 99%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 15, 2025
Updated: Oct 15, 2025
SHA: 373580ff

Try a prompt

Base models

BAAI/bge-small-en-v1.5

Model card

From the Hugging Face model README

DZ_2

This model is a fine-tuned version of BAAI/bge-small-en-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0946
Precision: 0.8969
Recall: 0.9221
F1: 0.9093
Accuracy: 0.9810

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: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0189	1.0	626	0.0908	0.8959	0.9170	0.9064	0.9809
0.0166	2.0	1252	0.0953	0.9035	0.9199	0.9116	0.9812
0.0138	3.0	1878	0.0946	0.8969	0.9221	0.9093	0.9810

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Oct 15, 2025
Updated: Oct 15, 2025