Bert Base Uncased Finetuned Sdg

jonas

bert-base-uncased-finetuned-sdg

bert-base-uncased-finetuned-sdg This model is a fine-tuned version of bert-base-uncased on the OSDG dataset. It achieves the following results on the evaluation set: Loss: 0.3094 Acc: 0.9195 Model description Classifies text to the first 16 SDGs! Intended uses & limitations Assess policy documents, classify text to SDGs, etc. Training and evaluation data OSDG data. Updated version from October. Training procedure Training hyperparameters The following hyperparameters were used during training: learning_rate: 0.0001 train_batch_size: 64 eval_batch_size: 64 seed: 42 distributed_type: multi-GPU optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear num_epochs: 3 Training results Framework versions Transformers 4.23.1 Pytorch 1.12.0a0+8a1a93a Datasets 2.5.2 Tokenizers 0.13.1

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Creator Models

ModelCostRuns
Roberta Base Finetuned Sdg$?5,511
Bert Base Uncased Finetuned Sdg Mar23$?206
Sdg_classifier_osdg$?37

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Creatorjonas
Model NameBert Base Uncased Finetuned Sdg
Description

bert-base-uncased-finetuned-sdg This model is a fine-tuned ...

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