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README.md
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---
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license: apache-2.0
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base_model: google/flan-t5-base
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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: 47.3683
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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: 1.3716
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- Rouge1: 47.3683
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- Rouge2: 24.0343
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- Rougel: 39.9874
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- Rougelsum: 43.6453
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- Gen Len: 17.3004
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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: 10
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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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| 1.4531 | 1.0 | 1842 | 1.3836 | 46.4391 | 23.0513 | 39.1448 | 42.8774 | 17.1868 |
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| 1.3433 | 2.0 | 3684 | 1.3729 | 47.0465 | 23.4504 | 39.8361 | 43.3316 | 17.2613 |
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| 1.2767 | 3.0 | 5526 | 1.3716 | 47.3683 | 24.0343 | 39.9874 | 43.6453 | 17.3004 |
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| 1.2117 | 4.0 | 7368 | 1.3739 | 47.6321 | 24.1445 | 40.3378 | 43.9123 | 17.0989 |
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| 1.1622 | 5.0 | 9210 | 1.3826 | 47.6786 | 23.9568 | 40.2743 | 43.7625 | 17.0879 |
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| 1.1387 | 6.0 | 11052 | 1.3920 | 47.6434 | 24.0265 | 40.2093 | 43.9179 | 17.3712 |
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| 1.1011 | 7.0 | 12894 | 1.3947 | 47.6658 | 24.0395 | 40.3477 | 43.8425 | 17.2186 |
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| 1.0755 | 8.0 | 14736 | 1.4059 | 47.5613 | 24.0555 | 40.181 | 43.7645 | 17.1490 |
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| 1.0514 | 9.0 | 16578 | 1.4053 | 47.9552 | 24.2395 | 40.3731 | 44.0694 | 17.3602 |
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| 1.0311 | 10.0 | 18420 | 1.4114 | 48.0582 | 24.3022 | 40.4713 | 44.1136 | 17.3175 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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