--- license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: flant-t5-base-function-calling-v2 results: [] --- # flant-t5-base-function-calling-v2 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 - Rouge1: 58.4419 - Rouge2: 51.6603 - Rougel: 58.4402 - Rougelsum: 58.4419 - Gen Len: 19.0 ## 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: 8 - eval_batch_size: 8 - 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | 0.0 | 1.0 | 15938 | 0.0000 | 58.4419 | 51.6602 | 58.44 | 58.4418 | 19.0 | | 0.0 | 2.0 | 31876 | 0.0000 | 58.4419 | 51.6603 | 58.4402 | 58.4419 | 19.0 | | 0.0 | 3.0 | 47814 | 0.0000 | 58.4419 | 51.6603 | 58.4402 | 58.4419 | 19.0 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2