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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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- wikihow
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metrics:
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- rouge
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model-index:
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- name: t5-small-finetuned-cnndm1-wikihow1
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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: wikihow
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type: wikihow
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args: all
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metrics:
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- name: Rouge1
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type: rouge
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value: 26.6881
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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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# t5-small-finetuned-cnndm1-wikihow1
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This model is a fine-tuned version of [Chikashi/t5-small-finetuned-cnndm1-wikihow0](https://huggingface.co/Chikashi/t5-small-finetuned-cnndm1-wikihow0) on the wikihow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3727
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- Rouge1: 26.6881
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- Rouge2: 9.9589
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- Rougel: 22.6828
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- Rougelsum: 26.0203
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- Gen Len: 18.4813
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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: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 1
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- mixed_precision_training: Native AMP
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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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| 2.56 | 1.0 | 39313 | 2.3727 | 26.6881 | 9.9589 | 22.6828 | 26.0203 | 18.4813 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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