--- library_name: transformers license: apache-2.0 base_model: chentong00/propositionizer-wiki-flan-t5-large tags: - generated_from_trainer model-index: - name: qsaf_propositional_v2 results: [] --- # qsaf_propositional_v2 This model is a fine-tuned version of [chentong00/propositionizer-wiki-flan-t5-large](https://huggingface.co/chentong00/propositionizer-wiki-flan-t5-large) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4817 ## 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-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Use 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: 500 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.5067 | 0.8889 | 500 | 0.3992 | | 0.442 | 1.7778 | 1000 | 0.3875 | | 0.4012 | 2.6667 | 1500 | 0.3929 | | 0.3767 | 3.5556 | 2000 | 0.4012 | | 0.3447 | 4.4444 | 2500 | 0.4054 | | 0.3244 | 5.3333 | 3000 | 0.4262 | | 0.3223 | 6.2222 | 3500 | 0.4382 | | 0.3014 | 7.1111 | 4000 | 0.4630 | | 0.2909 | 8.0 | 4500 | 0.4668 | | 0.2861 | 8.8889 | 5000 | 0.4755 | | 0.2903 | 9.7778 | 5500 | 0.4817 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.4