--- base_model: MiMe-MeMo/MeMo-BERT-03 tags: - generated_from_trainer model-index: - name: Noise_MeMo_BERT-3_02 results: [] --- # Noise_MeMo_BERT-3_02 This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0729 - F1-score: 0.6452 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1-score | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.095 | 1.0 | 915 | 0.0707 | 0.5373 | | 0.0532 | 2.0 | 1830 | 0.0877 | 0.4286 | | 0.0317 | 3.0 | 2745 | 0.0951 | 0.4889 | | 0.0196 | 4.0 | 3660 | 0.1114 | 0.3590 | | 0.0265 | 5.0 | 4575 | 0.0810 | 0.6333 | | 0.0118 | 6.0 | 5490 | 0.1097 | 0.4783 | | 0.0247 | 7.0 | 6405 | 0.1153 | 0.4583 | | 0.0255 | 8.0 | 7320 | 0.0781 | 0.5634 | | 0.0242 | 9.0 | 8235 | 0.1156 | 0.5455 | | 0.0423 | 10.0 | 9150 | 0.1186 | 0.4 | | 0.0246 | 11.0 | 10065 | 0.1057 | 0.5000 | | 0.0224 | 12.0 | 10980 | 0.0998 | 0.56 | | 0.0168 | 13.0 | 11895 | 0.0729 | 0.6452 | | 0.0106 | 14.0 | 12810 | 0.1171 | 0.4444 | | 0.0097 | 15.0 | 13725 | 0.0735 | 0.5818 | | 0.0187 | 16.0 | 14640 | 0.0943 | 0.5417 | | 0.0128 | 17.0 | 15555 | 0.1011 | 0.5417 | | 0.0098 | 18.0 | 16470 | 0.1029 | 0.5714 | | 0.0116 | 19.0 | 17385 | 0.0949 | 0.6182 | | 0.0084 | 20.0 | 18300 | 0.0956 | 0.6154 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2