gec_uk_seq2tag

BonySmoke/gec_uk_seq2tag

gec_uk_seq2tag is a token classification model from BonySmoke. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: roberta
Access: Public
Created: Oct 15, 2023
Updated: Feb 23, 2024
SHA: fbe32a83

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Base models

youscan/ukr-roberta-base

Model card

From the Hugging Face model README

gec_uk_seq2tag

This model is a fine-tuned version of youscan/ukr-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2885
Precision: 0.5978
Recall: 0.4263
F1: 0.4977
Accuracy: 0.9550

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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	202	0.3200	0.5468	0.3189	0.4028	0.9493
No log	2.0	405	0.2860	0.5904	0.3765	0.4598	0.9539
0.3194	3.0	608	0.2843	0.5733	0.4437	0.5002	0.9538
0.3194	4.0	811	0.2885	0.5978	0.4263	0.4977	0.9550

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.17.1
Tokenizers 0.15.1

Task: Token Classification
Library: transformers
Type: roberta
Created: Oct 15, 2023
Updated: Feb 23, 2024