Training complete

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- Summarization
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+base_model: google/flan-t5-base
+model-index:
+- name: flan-t5-base-finetuned-QLoRA-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. -->
+
+# flan-t5-base-finetuned-QLoRA-v2
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the cnn_dailymail dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1284
+- Rouge1: 0.2459
+- Rouge2: 0.1133
+- Rougel: 0.2014
+- Rougelsum: 0.2312
+
+## 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: 3e-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
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.2738 | 1.0 | 500 | 2.5624 | 0.2375 | 0.1097 | 0.1987 | 0.223 |
+| 1.8824 | 2.0 | 1000 | 1.2830 | 0.2419 | 0.11 | 0.1988 | 0.2278 |
+| 1.6192 | 3.0 | 1500 | 1.1527 | 0.2477 | 0.1149 | 0.2033 | 0.2325 |
+| 1.5256 | 4.0 | 2000 | 1.1284 | 0.2459 | 0.1133 | 0.2014 | 0.2312 |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1