my_awesome_UkrSynth_model

Olehlpnu/my_awesome_UkrSynth_model

my_awesome_UkrSynth_model is a token classification model from Olehlpnu. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Feb 24, 2023
Updated: Jun 2, 2023
SHA: 06dc4799

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Model card

From the Hugging Face model README

my_awesome_UkrSynth_model

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2091
Precision: 0.9196
Recall: 0.9203
F1: 0.9200
Accuracy: 0.9351

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.786	1.0	500	0.3620	0.8661	0.8650	0.8655	0.8894
0.3278	2.0	1000	0.2486	0.9051	0.9041	0.9046	0.9223
0.2515	3.0	1500	0.2185	0.9155	0.9168	0.9162	0.9321
0.218	4.0	2000	0.2091	0.9196	0.9203	0.9200	0.9351

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Feb 24, 2023
Updated: Jun 2, 2023