End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+metrics:
+- rouge
+model-index:
+- name: flan-T5-base-sum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 47.6617
+---
+
+<!-- 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-sum
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3721
+- Rouge1: 47.6617
+- Rouge2: 23.7647
+- Rougel: 40.1155
+- Rougelsum: 43.6943
+- Gen Len: 17.2759
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.4403        | 1.0   | 1842 | 1.3822          | 47.2814 | 23.7835 | 39.7427 | 43.4897   | 17.0256 |
+| 1.3572        | 2.0   | 3684 | 1.3747          | 47.553  | 23.5714 | 39.8212 | 43.6246   | 17.4420 |
+| 1.2822        | 3.0   | 5526 | 1.3721          | 47.6617 | 23.7647 | 40.1155 | 43.6943   | 17.2759 |
+| 1.2375        | 4.0   | 7368 | 1.3764          | 47.7453 | 24.1099 | 40.1684 | 43.8659   | 17.2943 |
+| 1.1935        | 5.0   | 9210 | 1.3780          | 47.614  | 23.6643 | 39.8434 | 43.6558   | 17.3077 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

generation_config.json

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+}

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