setfit_bench_bert-base-uncased_finetuned_for_seqclassif

bthomas/setfit_bench_bert-base-uncased_finetuned_for_seqclassif

setfit_bench_bert-base-uncased_finetuned_for_seqclassif is a text classification model from bthomas. 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: Nov 8, 2022
Updated: Nov 8, 2022
SHA: dbde5d34

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Model card

From the Hugging Face model README

setfit_bench_bert-base-uncased_finetuned_for_seqclassif

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: 0.2666

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3437	1.0	189	0.2666

Framework versions

Transformers 4.21.1
Pytorch 1.11.0
Datasets 2.3.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 8, 2022
Updated: Nov 8, 2022