--- license: apache-2.0 base_model: google-bert/bert-base-multilingual-uncased tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: nlp_1 results: [] --- # nlp_1 This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4215 - Accuracy: 0.9037 - Precision: 0.8944 - Recall: 0.9025 - F1: 0.8968 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | 0.3252 | 1.0 | 48 | 0.4194 | 0.8670 | 0.8671 | 0.8619 | 0.8617 | | 0.1803 | 2.0 | 96 | 0.3779 | 0.8853 | 0.8807 | 0.8788 | 0.8773 | | 0.1713 | 3.0 | 144 | 0.4097 | 0.8945 | 0.8864 | 0.8924 | 0.8857 | | 0.1359 | 4.0 | 192 | 0.4012 | 0.8945 | 0.8919 | 0.8841 | 0.8873 | | 0.1201 | 5.0 | 240 | 0.3770 | 0.8899 | 0.8809 | 0.8876 | 0.8818 | | 0.0735 | 6.0 | 288 | 0.4204 | 0.8991 | 0.8934 | 0.8975 | 0.8921 | | 0.0807 | 7.0 | 336 | 0.4092 | 0.9083 | 0.9059 | 0.9020 | 0.9024 | | 0.1066 | 8.0 | 384 | 0.4181 | 0.8991 | 0.8894 | 0.8928 | 0.8903 | | 0.0615 | 9.0 | 432 | 0.4212 | 0.9083 | 0.8988 | 0.9066 | 0.9014 | | 0.071 | 10.0 | 480 | 0.4215 | 0.9037 | 0.8944 | 0.9025 | 0.8968 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1