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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-small-tldr-50k |
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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-small-tldr-50k |
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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 Reddit TL;DR dataset (https://zenodo.org/record/1168855#.ZB8P-iFByUk). |
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It achieves the following results on the evaluation set: |
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- Gen Len: 16.4422 |
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- Loss: 3.2423 |
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- Rouge1: 14.7049 |
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- Rouge2: 3.2396 |
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- Rougel: 12.5104 |
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- Rougelsum: 12.9681 |
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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 | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 3.5507 | 1.0 | 5625 | 16.1424 | 3.2752 | 14.2302 | 2.9853 | 12.1734 | 12.5894 | |
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| 3.4842 | 2.0 | 11250 | 16.1126 | 3.2569 | 14.3966 | 3.0939 | 12.2437 | 12.6705 | |
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| 3.4288 | 3.0 | 16875 | 16.39 | 3.2481 | 14.6879 | 3.2647 | 12.5199 | 12.9681 | |
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| 3.4176 | 4.0 | 22500 | 16.2948 | 3.2432 | 14.7198 | 3.2693 | 12.5436 | 12.9885 | |
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| 3.4033 | 5.0 | 28125 | 16.4422 | 3.2423 | 14.7049 | 3.2396 | 12.5104 | 12.9681 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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