model_from_berturk_1401_v2

Buseak/model_from_berturk_1401_v2

model_from_berturk_1401_v2 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 14, 2023
Updated: Jan 14, 2023
SHA: ce0ad92f

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Model card

From the Hugging Face model README

model_from_berturk_1401_v2

This model is a fine-tuned version of Buseak/model_from_berturk_1401 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1542
Precision: 0.9414
Recall: 0.9356
F1: 0.9385
Accuracy: 0.9569

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	244	0.2277	0.9129	0.9058	0.9094	0.9362
No log	2.0	488	0.1855	0.9275	0.9204	0.9240	0.9472
0.2477	3.0	732	0.1602	0.9403	0.9315	0.9359	0.9554
0.2477	4.0	976	0.1542	0.9414	0.9356	0.9385	0.9569

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 14, 2023
Updated: Jan 14, 2023