--- license: apache-2.0 base_model: distilbert/distilbert-base-multilingual-cased tags: - generated_from_trainer metrics: - f1 model-index: - name: distilbert-multilingual-sdg-classification results: [] --- <!-- 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](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7341 - F1: 0.7954 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 600 - num_epochs: 5.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.484 | 1.0 | 1076 | 0.8800 | 0.7463 | | 0.7957 | 2.0 | 2152 | 0.7796 | 0.7735 | | 0.612 | 3.0 | 3228 | 0.7352 | 0.7904 | | 0.4784 | 4.0 | 4304 | 0.7243 | 0.7948 | | 0.3959 | 5.0 | 5380 | 0.7341 | 0.7954 | ### Framework versions - Transformers 4.43.2 - Pytorch 2.4.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1