my_awesome_wnut_model1

NastyaKorneeva/my_awesome_wnut_model1

my_awesome_wnut_model1 is a token classification model from NastyaKorneeva. 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: Apr 18, 2024
Updated: Apr 20, 2024
SHA: bf60df6b

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Base models

cointegrated/rubert-tiny2

Model card

From the Hugging Face model README

my_awesome_wnut_model1

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6765
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9050

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	25	0.9131	0.0	0.0	0.0	0.9046
No log	2.0	50	0.6765	0.0	0.0	0.0	0.9050

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Apr 18, 2024
Updated: Apr 20, 2024