model1-thesis-4

UchihaMadara/model1-thesis-4

model1-thesis-4 is a token classification model from UchihaMadara. 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: bert
Access: Public
Created: Feb 12, 2023
Updated: Feb 12, 2023
SHA: 6086e2e4

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Model card

From the Hugging Face model README

model1-thesis-4

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1362
Precision: 0.4257
Recall: 0.4678
F1: 0.4458
Accuracy: 0.6453

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	45	1.1491	0.2860	0.4992	0.3637	0.5491
No log	2.0	90	1.0264	0.3661	0.4334	0.3969	0.6192
No log	3.0	135	1.0848	0.3885	0.4455	0.4150	0.6284
No log	4.0	180	1.1257	0.4100	0.4896	0.4462	0.6408
No log	5.0	225	1.1362	0.4257	0.4678	0.4458	0.6453

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 12, 2023
Updated: Feb 12, 2023