--- library_name: transformers license: apache-2.0 base_model: google/flan-t5-small tags: - generated_from_trainer model-index: - name: flan-t5-small-gigatrue-AI-D456 results: [] --- # flan-t5-small-gigatrue-AI-D456 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: 2.5295 ## 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: 0.0003 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - 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 | |:-------------:|:------:|:-----:|:---------------:| | 3.1317 | 0.2030 | 3000 | 2.5904 | | 3.0056 | 0.4059 | 6000 | 2.5592 | | 2.9796 | 0.6089 | 9000 | 2.5478 | | 2.9712 | 0.8119 | 12000 | 2.5390 | | 2.9638 | 1.0148 | 15000 | 2.5365 | | 2.9598 | 1.2178 | 18000 | 2.5332 | | 2.958 | 1.4207 | 21000 | 2.5318 | | 2.9557 | 1.6237 | 24000 | 2.5322 | | 2.9542 | 1.8267 | 27000 | 2.5293 | | 2.9541 | 2.0296 | 30000 | 2.5293 | | 2.9518 | 2.2326 | 33000 | 2.5298 | | 2.955 | 2.4356 | 36000 | 2.5299 | | 2.9542 | 2.6385 | 39000 | 2.5294 | | 2.9536 | 2.8415 | 42000 | 2.5295 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.5.1 - Datasets 3.2.0 - Tokenizers 0.20.3