--- library_name: transformers 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: [] datasets: - albertmartinez/OSDG pipeline_tag: text-classification --- # 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: 0.8076 - 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 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 600 - num_epochs: 5.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 2.1669 | 1.0 | 538 | 1.2066 | 0.6552 | | 1.0784 | 2.0 | 1076 | 0.9131 | 0.7414 | | 0.8756 | 3.0 | 1614 | 0.8408 | 0.7614 | | 0.7817 | 4.0 | 2152 | 0.8136 | 0.7688 | | 0.7337 | 5.0 | 2690 | 0.8076 | 0.7706 | ### Framework versions - Transformers 4.49.0.dev0 - Pytorch 2.1.2.post304 - Datasets 3.2.0 - Tokenizers 0.21.0