--- library_name: transformers license: apache-2.0 base_model: Eimhin03/outout_model tags: - generated_from_trainer model-index: - name: outout_model_29Jan26_TestingGeneralisation results: [] --- # outout_model_29Jan26_TestingGeneralisation This model is a fine-tuned version of [Eimhin03/outout_model](https://huggingface.co/Eimhin03/outout_model) on an unknown dataset. ## 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: 0.0001 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 200 - training_steps: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:--------:| | No log | 0.0020 | 1 | 3.8299 | 101.7722 | ### Framework versions - Transformers 5.0.1.dev0 - Pytorch 2.9.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2