--- library_name: transformers license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer model-index: - name: FLANT5_base results: [] --- # FLANT5_base 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: 0.0872 - Bleu Score: 25.2243 - Gen Len: 18.8053 ## 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: 0.0002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - 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 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:| | 0.2 | 1.0 | 838 | 0.1229 | 24.1188 | 18.8076 | | 0.1099 | 2.0 | 1676 | 0.0951 | 24.7563 | 18.8017 | | 0.0841 | 3.0 | 2514 | 0.0872 | 25.2243 | 18.8053 | ### Framework versions - Transformers 4.46.2 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3