--- license: mit base_model: VietAI/vit5-large-vietnews-summarization tags: - generated_from_trainer model-index: - name: summary-finetuning-v2 results: [] --- [Visualize in Weights & Biases](https://wandb.ai/minhquy16/uncategorized/runs/mqv66yvi) # summary-finetuning-v2 This model is a fine-tuned version of [VietAI/vit5-large-vietnews-summarization](https://huggingface.co/VietAI/vit5-large-vietnews-summarization) on the None dataset. ## 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: 2e-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: 4 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.41.0 - Pytorch 2.3.0+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1