model1-thesis

UchihaMadara/model1-thesis

model1-thesis 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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Hugging Face

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Feb 6, 2023
Updated: Feb 6, 2023
SHA: 2335bb98

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Model card

From the Hugging Face model README

model1-thesis

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: 1.7088
Precision: 0.0487
Recall: 0.0532
F1: 0.0509
Accuracy: 0.3175

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	12	1.7903	0.0152	0.0169	0.0160	0.2535
No log	2.0	24	1.7359	0.0458	0.0464	0.0461	0.2944
No log	3.0	36	1.7088	0.0487	0.0532	0.0509	0.3175

Framework versions

Transformers 4.26.0
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 6, 2023
Updated: Feb 6, 2023