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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: flan-t5-base-samsum
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: test
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 47.5929
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# flan-t5-base-samsum
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3776
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- Rouge1: 47.5929
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- Rouge2: 23.8272
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- Rougel: 40.1493
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- Rougelsum: 43.7798
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- Gen Len: 17.2503
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.4416 | 1.0 | 1842 | 1.3837 | 46.6013 | 23.125 | 39.4894 | 42.9943 | 17.0684 |
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| 1.3581 | 2.0 | 3684 | 1.3730 | 47.3142 | 23.5981 | 39.5786 | 43.447 | 17.3675 |
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| 1.2781 | 3.0 | 5526 | 1.3739 | 47.5321 | 23.8035 | 40.0555 | 43.7595 | 17.2271 |
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| 1.2368 | 4.0 | 7368 | 1.3767 | 47.0944 | 23.2414 | 39.6673 | 43.2155 | 17.2405 |
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| 1.1953 | 5.0 | 9210 | 1.3776 | 47.5929 | 23.8272 | 40.1493 | 43.7798 | 17.2503 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.12.1
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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