--- license: mit base_model: RogerB/afro-xlmr-large-kinte-domain-kinte-task tags: - generated_from_trainer metrics: - f1 model-index: - name: afro-xlmr-large-kinte-domain-kinte-task-kin-sent1 results: [] --- # afro-xlmr-large-kinte-domain-kinte-task-kin-sent1 This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinte-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinte-domain-kinte-task) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9297 - F1: 0.6998 ## 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-06 - train_batch_size: 4 - eval_batch_size: 4 - seed: 100000 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.8929 | 1.0 | 1013 | 0.6678 | 0.7261 | | 0.7292 | 2.0 | 2026 | 0.5476 | 0.7928 | | 0.6439 | 3.0 | 3039 | 0.5334 | 0.8202 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1