--- base_model: MarcBrun/ixambert-finetuned-squad-eu tags: - generated_from_trainer model-index: - name: Neurixa_From_Ixambert-finetuned-squad-eu results: [] --- # Neurixa_From_Ixambert-finetuned-squad-eu This model is a fine-tuned version of [MarcBrun/ixambert-finetuned-squad-eu](https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2018 ## 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: 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 6 | 4.4728 | | No log | 2.0 | 12 | 3.3750 | | No log | 3.0 | 18 | 2.5127 | | No log | 4.0 | 24 | 1.8246 | | No log | 5.0 | 30 | 1.3675 | | No log | 6.0 | 36 | 0.9409 | | No log | 7.0 | 42 | 0.6393 | | No log | 8.0 | 48 | 0.4733 | | No log | 9.0 | 54 | 0.3724 | | No log | 10.0 | 60 | 0.3093 | | No log | 11.0 | 66 | 0.2644 | | No log | 12.0 | 72 | 0.2407 | | No log | 13.0 | 78 | 0.2161 | | No log | 14.0 | 84 | 0.2041 | | No log | 15.0 | 90 | 0.2018 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.3.0 - Datasets 2.19.2 - Tokenizers 0.15.1