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README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuned-viT5-newwiki-summarization
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# finetuned-viT5-newwiki-summarization
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5808
+- eval_rouge1: 48.8124
+- eval_rouge2: 25.4951
+- eval_rougeL: 35.0057
+- eval_rougeLsum: 37.2134
+- eval_runtime: 515.0078
+- eval_samples_per_second: 3.845
+- eval_steps_per_second: 0.961
+- epoch: 12.0
+- step: 23760
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2