pretrain1

fcx-kilig/pretrain1

pretrain1 is a text classification model from fcx-kilig. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 6, 2022
Updated: Jun 20, 2022
SHA: 32b5f0e2

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Model card

From the Hugging Face model README

pretrain1

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: 1.0888
Accuracy: 0.7783

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: 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: 6.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	92	0.4934	0.7563
No log	2.0	184	0.5083	0.7783
No log	3.0	276	0.8579	0.7767
No log	4.0	368	0.9096	0.7814
No log	5.0	460	1.1022	0.7657
0.2079	6.0	552	1.0888	0.7783

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu102
Datasets 2.2.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 6, 2022
Updated: Jun 20, 2022