--- license: apache-2.0 base_model: google/flan-t5-large tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-large-Imagine-WQ results: [] --- # flan-t5-large-Imagine-WQ This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset. It achieves the following results on the evaluation set: - Gen Len: 509.77 - Loss: 3.4156 - Rouge1: 20.6216 - Rouge2: 4.1953 - Rougel: 16.091 - Rougelsum: 17.4067 ## 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: 16 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.08 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:--------:|:---------------:|:-------:|:------:|:-------:|:---------:| | No log | 1.0 | 218 | 508.68 | 3.5702 | 16.525 | 3.2484 | 14.5949 | 13.3919 | | No log | 2.0 | 436 | 509.62 | 3.5013 | 17.6208 | 3.7153 | 14.7229 | 14.9556 | | No log | 3.0 | 654 | 509.9767 | 3.4592 | 19.4782 | 3.9388 | 15.7853 | 16.3468 | | No log | 4.0 | 872 | 509.8233 | 3.4337 | 20.8148 | 4.287 | 16.3887 | 17.3557 | | No log | 5.0 | 1090 | 509.77 | 3.4156 | 20.6216 | 4.1953 | 16.091 | 17.4067 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.0.1+cu117 - Datasets 2.15.0 - Tokenizers 0.15.0