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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-cnndm2-wikihow2 |
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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: 27.0962 |
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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-cnndm2-wikihow2 |
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This model is a fine-tuned version of [Chikashi/t5-small-finetuned-cnndm2-wikihow1](https://huggingface.co/Chikashi/t5-small-finetuned-cnndm2-wikihow1) on the wikihow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3311 |
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- Rouge1: 27.0962 |
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- Rouge2: 10.3575 |
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- Rougel: 23.1099 |
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- Rougelsum: 26.4664 |
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- Gen Len: 18.5197 |
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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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| 2.517 | 1.0 | 39313 | 2.3311 | 27.0962 | 10.3575 | 23.1099 | 26.4664 | 18.5197 | |
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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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