Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+base_model: google-t5/t5-large
+model-index:
+- name: t5-large-v2
+  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. -->
+
+# t5-large-v2
+
+This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7305
+- Rouge1: 28.8944
+- Rouge2: 10.3653
+- Rougel: 20.1830
+- Rougelsum: 20.1839
+
+## 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: 4e-05
+- train_batch_size: 48
+- eval_batch_size: 64
+- seed: 7
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.0607        | 0.45  | 200  | 1.7285          | 29.5191 | 10.7426 | 20.4093 | 20.4053   |
+| 1.925         | 0.9   | 400  | 1.7305          | 28.8944 | 10.3653 | 20.1830 | 20.1839   |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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