End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-juraqanda
+  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-juraqanda
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0784
+- Rouge1: 9.5491
+- Rouge2: 1.4927
+- Rougel: 8.828
+- Rougelsum: 9.2708
+- Gen Len: 18.5260
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
+| 4.0303        | 1.0   | 712  | 3.3466          | 9.4455  | 1.2684 | 8.8558 | 9.1832    | 18.7577 |
+| 3.6049        | 2.0   | 1424 | 3.1931          | 10.0714 | 1.4116 | 9.4163 | 9.8024    | 18.6461 |
+| 3.3464        | 3.0   | 2136 | 3.1246          | 9.6542  | 1.4317 | 8.9441 | 9.36      | 18.5485 |
+| 3.2831        | 4.0   | 2848 | 3.0910          | 9.6676  | 1.4584 | 8.9533 | 9.3876    | 18.6706 |
+| 3.2176        | 5.0   | 3560 | 3.0784          | 9.5491  | 1.4927 | 8.828  | 9.2708    | 18.5260 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2

generation_config.json

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