albertmartinez/distilbert-multilingual-sdg-classification

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-multilingual-sdg-classification

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8076
• —F1: 0.7706

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: 1e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 600
• —num_epochs: 5.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.49.0.dev0
• —Pytorch 2.1.2.post304
• —Datasets 3.2.0
• —Tokenizers 0.21.0