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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-tldr-100k |
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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-tldr-100k |
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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 first 100.000 samples of 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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- Loss: 2.7323 |
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- Rouge1: 17.0772 |
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- Rouge2: 4.4204 |
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- Rougel: 14.549 |
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- Rougelsum: 15.0148 |
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- Gen Len: 16.0925 |
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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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| 3.1467 | 1.0 | 11250 | 16.4911 | 2.9531 | 15.909 | 3.8156 | 13.4884 | 13.9568 | |
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| 3.0673 | 2.0 | 22500 | 16.4639 | 2.9318 | 16.4972 | 3.9757 | 13.9517 | 14.4336 | |
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| 2.9952 | 3.0 | 33750 | 16.2585 | 2.9245 | 16.5997 | 4.1068 | 14.0299 | 14.5147 | |
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| 2.9524 | 4.0 | 45000 | 2.7323 | 17.0772 | 4.4204 | 14.549 | 15.0148 | 16.0925 | |
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| 2.9223 | 5.0 | 56250 | 2.7328 | 17.1468 | 4.4384 | 14.5798| 15.0572 | 16.2163 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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