--- license: apache-2.0 base_model: google/flan-t5-small tags: - generated_from_trainer model-index: - name: food-intent results: [] --- # food-intent This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3056 ## 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: 12 - eval_batch_size: 12 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.5231 | 0.42 | 20 | 0.4133 | | 0.4702 | 0.83 | 40 | 0.4094 | | 0.4898 | 1.25 | 60 | 0.4028 | | 0.4596 | 1.67 | 80 | 0.3933 | | 0.4597 | 2.08 | 100 | 0.3822 | | 0.3879 | 2.5 | 120 | 0.3714 | | 0.3861 | 2.92 | 140 | 0.3606 | | 0.3689 | 3.33 | 160 | 0.3495 | | 0.3574 | 3.75 | 180 | 0.3377 | | 0.3272 | 4.17 | 200 | 0.3257 | | 0.2981 | 4.58 | 220 | 0.3157 | | 0.3075 | 5.0 | 240 | 0.3056 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0