--- 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: 0.1032 - Bleu Score: 24.6685 - Gen Len: 18.81 ## 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: 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 | Bleu Score | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:| | 0.2198 | 1.0 | 838 | 0.1347 | 23.684 | 18.7897 | | 0.1309 | 2.0 | 1676 | 0.1099 | 24.3895 | 18.8088 | | 0.1079 | 3.0 | 2514 | 0.1032 | 24.6685 | 18.81 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1