--- base_model: Musixmatch/umberto-commoncrawl-cased-v1 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: irony_sarcasm_ita results: [] --- # irony_sarcasm_ita 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: 1.3359 - Accuracy: 0.8282 - F1: 0.4474 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 0.5985 | 1.0 | 715 | 0.6131 | 0.7955 | 0.4459 | | 0.2312 | 2.0 | 1430 | 0.8496 | 0.8196 | 0.4403 | | 0.0632 | 3.0 | 2145 | 0.8931 | 0.8402 | 0.3988 | | 0.0464 | 4.0 | 2860 | 1.0947 | 0.8402 | 0.4332 | | 0.015 | 5.0 | 3575 | 1.3966 | 0.8041 | 0.4004 | | 0.0174 | 6.0 | 4290 | 1.3359 | 0.8282 | 0.4474 | | 0.0102 | 7.0 | 5005 | 1.3382 | 0.8299 | 0.3857 | | 0.0011 | 8.0 | 5720 | 1.4105 | 0.8213 | 0.4196 | | 0.0098 | 9.0 | 6435 | 1.4673 | 0.8213 | 0.4253 | | 0.0057 | 10.0 | 7150 | 1.4211 | 0.8333 | 0.4226 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.3.0+cu118 - Datasets 2.19.0 - Tokenizers 0.19.1