Create README.md
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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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metrics:
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- rouge
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model-index:
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- name: flan-t5-base-v3-edos_labelled_aggregated
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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-v3-edos_labelled_aggregated
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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: 0.0663
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- Rouge1: 95.8792
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- Rouge2: 71.25
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- Rougel: 95.875
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- Rougelsum: 95.8792
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- Gen Len: 4.7903
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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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| 0.0822 | 1.0 | 1750 | 0.0688 | 95.8375 | 71.9 | 95.8417 | 95.8333 | 4.805 |
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| 0.0663 | 2.0 | 3500 | 0.0663 | 95.8792 | 71.25 | 95.875 | 95.8792 | 4.7903 |
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| 0.0536 | 3.0 | 5250 | 0.0764 | 95.65 | 69.3 | 95.65 | 95.6667 | 4.758 |
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| 0.0486 | 4.0 | 7000 | 0.0849 | 95.8333 | 69.925 | 95.8167 | 95.8333 | 4.7657 |
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| 0.0467 | 5.0 | 8750 | 0.0946 | 95.825 | 69.8 | 95.8083 | 95.825 | 4.7635 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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