--- base_model: Musixmatch/umberto-commoncrawl-cased-v1 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: relation_classification_single_label results: [] --- # relation_classification_single_label 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: 0.8861 - Accuracy: 0.6822 - F1: 0.6573 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | No log | 1.0 | 121 | 0.8453 | 0.6357 | 0.6305 | | No log | 2.0 | 242 | 0.9264 | 0.6434 | 0.6392 | | No log | 3.0 | 363 | 0.8861 | 0.6822 | 0.6573 | | No log | 4.0 | 484 | 1.0027 | 0.6822 | 0.6558 | | 0.6343 | 5.0 | 605 | 1.1278 | 0.6667 | 0.6356 | | 0.6343 | 6.0 | 726 | 1.3472 | 0.6512 | 0.6100 | | 0.6343 | 7.0 | 847 | 1.4766 | 0.6434 | 0.5919 | | 0.6343 | 8.0 | 968 | 1.5769 | 0.6667 | 0.6303 | | 0.1581 | 9.0 | 1089 | 1.6284 | 0.6434 | 0.5971 | | 0.1581 | 10.0 | 1210 | 1.6729 | 0.6589 | 0.6175 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.3.0+cu118 - Datasets 2.19.0 - Tokenizers 0.19.1