--- library_name: transformers license: mit base_model: mateiaassAI/teacher_emo tags: - generated_from_trainer metrics: - f1 - accuracy - precision - recall model-index: - name: teacher_emo_redv2 results: [] --- # teacher_emo_redv2 This model is a fine-tuned version of [mateiaassAI/teacher_emo](https://huggingface.co/mateiaassAI/teacher_emo) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2455 - F1: 0.6905 - Roc Auc: 0.7975 - Accuracy: 0.5967 - Precision: 0.7515 - Recall: 0.6427 ## 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: 1.7e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Precision | Recall | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:| | No log | 1.0 | 256 | 0.2661 | 0.6012 | 0.7369 | 0.4788 | 0.7897 | 0.5090 | | 0.2941 | 2.0 | 512 | 0.2433 | 0.6749 | 0.7869 | 0.5801 | 0.7702 | 0.6117 | | 0.2941 | 3.0 | 768 | 0.2467 | 0.6783 | 0.7933 | 0.5912 | 0.7384 | 0.6362 | | 0.1692 | 4.0 | 1024 | 0.2455 | 0.6905 | 0.7975 | 0.5967 | 0.7515 | 0.6427 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0