VirgiF/continue_pretrain_t5_base

1---2library_name: transformers3license: apache-2.04base_model: google-t5/t5-base5tags:6- generated_from_trainer7model-index:8- name: continue_pretrain_t5_base9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# continue_pretrain_t5_base16 17This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.18 19## Model description20 21More information needed22 23## Intended uses & limitations24 25More information needed26 27## Training and evaluation data28 29More information needed30 31## Training procedure32 33### Training hyperparameters34 35The following hyperparameters were used during training:36- learning_rate: 2e-0537- train_batch_size: 838- eval_batch_size: 839- seed: 4240- gradient_accumulation_steps: 241- total_train_batch_size: 1642- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0843- lr_scheduler_type: cosine44- lr_scheduler_warmup_ratio: 0.145- num_epochs: 346 47### Training results48 49 50 51### Framework versions52 53- Transformers 4.44.254- Pytorch 2.1.2+cu12155- Datasets 2.19.156- Tokenizers 0.19.157