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-samsum5
+  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: 46.8382
+---
+
+<!-- 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-samsum5
+
+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: 1.3676
+- Rouge1: 46.8382
+- Rouge2: 23.107
+- Rougel: 39.5293
+- Rougelsum: 42.8917
+- Gen Len: 17.3675
+
+## 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: 6
+- eval_batch_size: 6
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.4315        | 1.0   | 2456  | 1.3793          | 46.7908 | 22.8618 | 39.3679 | 43.0337   | 17.1148 |
+| 1.352         | 2.0   | 4912  | 1.3676          | 46.8382 | 23.107  | 39.5293 | 42.8917   | 17.3675 |
+| 1.2638        | 3.0   | 7368  | 1.3684          | 47.3491 | 23.5078 | 39.9401 | 43.4065   | 17.1832 |
+| 1.2238        | 4.0   | 9824  | 1.3727          | 47.2949 | 23.8671 | 40.057  | 43.645    | 17.3260 |
+| 1.1632        | 5.0   | 12280 | 1.3737          | 47.3124 | 23.7118 | 40.0067 | 43.6227   | 17.3126 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2

generation_config.json

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