model_6012023

Buseak/model_6012023

model_6012023 is a token classification model from Buseak. 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. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jan 5, 2023
Updated: Jan 6, 2023
SHA: 888d3c0c

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Model card

From the Hugging Face model README

model_6012023

This model is a fine-tuned version of Buseak/my_pos_model on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2391
Precision: 0.9109
Recall: 0.9042
F1: 0.9076
Accuracy: 0.9348

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	244	0.3030	0.8906	0.8845	0.8875	0.9202
No log	2.0	488	0.2526	0.9051	0.8977	0.9014	0.9306
0.4278	3.0	732	0.2391	0.9109	0.9042	0.9076	0.9348

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Jan 5, 2023
Updated: Jan 6, 2023