--- base_model: Musixmatch/umberto-commoncrawl-cased-v1 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: irony_classification_single_label_base results: [] --- # irony_classification_single_label_base This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9822 - Accuracy: 0.6227 - F1: 0.5853 ## 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: 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 0.9554 | 1.0 | 718 | 0.8483 | 0.6247 | 0.5794 | | 0.6941 | 2.0 | 1436 | 0.9822 | 0.6227 | 0.5853 | | 0.3184 | 3.0 | 2154 | 1.5308 | 0.6206 | 0.5835 | | 0.2401 | 4.0 | 2872 | 2.0444 | 0.6093 | 0.5714 | | 0.1284 | 5.0 | 3590 | 2.1603 | 0.6124 | 0.5643 | | 0.0646 | 6.0 | 4308 | 2.3836 | 0.6041 | 0.5571 | | 0.0362 | 7.0 | 5026 | 2.5046 | 0.6268 | 0.5635 | | 0.0232 | 8.0 | 5744 | 2.6831 | 0.6072 | 0.5534 | | 0.024 | 9.0 | 6462 | 2.7345 | 0.6165 | 0.5546 | | 0.0084 | 10.0 | 7180 | 2.7679 | 0.6144 | 0.5616 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.3.0+cu118 - Datasets 2.19.0 - Tokenizers 0.19.1