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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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- summarize_from_feedback |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-small-finetuned-openai-summarize_from_feedback |
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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: summarize_from_feedback |
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type: summarize_from_feedback |
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config: comparisons |
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split: train |
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args: comparisons |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 27.2966 |
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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 (small) fine-tuned on OpenAI summarize_from_feedback for summarizing |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the summarize_from_feedback dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1488 |
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- Rouge1: 27.2966 |
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- Rouge2: 9.5886 |
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- Rougel: 22.1999 |
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- Rougelsum: 23.6317 |
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- Gen Len: 18.9310 |
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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: 32 |
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- eval_batch_size: 64 |
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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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| 2.2472 | 1.0 | 2902 | 2.1882 | 26.2033 | 8.83 | 21.3673 | 22.7758 | 18.9234 | |
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| 2.1142 | 2.0 | 5804 | 2.1608 | 27.1972 | 9.4269 | 22.1761 | 23.6252 | 18.8796 | |
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| 2.0484 | 3.0 | 8706 | 2.1524 | 27.0963 | 9.4578 | 21.9866 | 23.5124 | 18.9033 | |
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| 2.0055 | 4.0 | 11608 | 2.1519 | 27.2428 | 9.5514 | 22.1542 | 23.6036 | 18.9347 | |
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| 1.9647 | 5.0 | 14510 | 2.1488 | 27.2966 | 9.5886 | 22.1999 | 23.6317 | 18.9310 | |
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| 1.9547 | 6.0 | 17412 | 2.1488 | 27.5602 | 9.673 | 22.3768 | 23.8399 | 18.9236 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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