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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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metrics:
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- rouge
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model-index:
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- name: flan-t5-base-text_summarization_data_3_epochs
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results: []
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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-text_summarization_data_3_epochs
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6783
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- Rouge1: 43.5994
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- Rouge2: 20.4446
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- Rougel: 40.132
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- Rougelsum: 40.1692
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- Gen Len: 14.5837
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 6
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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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| 2.0079 | 1.0 | 1174 | 1.7150 | 43.4218 | 19.8984 | 40.0059 | 40.0582 | 14.5011 |
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| 1.9122 | 2.0 | 2348 | 1.7020 | 44.0374 | 20.5756 | 40.5915 | 40.5683 | 14.617 |
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| 1.8588 | 3.0 | 3522 | 1.6881 | 43.9498 | 20.5633 | 40.4656 | 40.5116 | 14.4528 |
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| 1.8243 | 4.0 | 4696 | 1.6812 | 43.6024 | 20.4845 | 40.1784 | 40.2211 | 14.5075 |
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| 1.7996 | 5.0 | 5870 | 1.6780 | 43.6652 | 20.553 | 40.2209 | 40.2651 | 14.5236 |
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| 1.7876 | 6.0 | 7044 | 1.6783 | 43.5994 | 20.4446 | 40.132 | 40.1692 | 14.5837 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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