HFBaro/Large-Language-Models-Project

1---2library_name: transformers3license: apache-2.04base_model: t5-small5tags:6- generated_from_trainer7metrics:8- rouge9model-index:10- name: Large-Language-Models-Project11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# Large-Language-Models-Project18 19This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.20It achieves the following results on the evaluation set:21- Loss: 5.705922- Rouge1: 0.378223- Rouge2: 0.073024- Rougel: 0.271325- Rougelsum: 0.307926 27## Model description28 29More information needed30 31## Intended uses & limitations32 33More information needed34 35## Training and evaluation data36 37More information needed38 39## Training procedure40 41### Training hyperparameters42 43The following hyperparameters were used during training:44- learning_rate: 0.000145- train_batch_size: 846- eval_batch_size: 847- seed: 4248- gradient_accumulation_steps: 249- total_train_batch_size: 1650- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments51- lr_scheduler_type: linear52- lr_scheduler_warmup_steps: 50053- num_epochs: 854- mixed_precision_training: Native AMP55 56### Training results57 58 59 60### Framework versions61 62- Transformers 4.52.463- Pytorch 2.6.0+cu12464- Datasets 2.14.465- Tokenizers 0.21.166