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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-large-samsum |
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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: samsum |
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type: samsum |
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config: samsum |
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split: test |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 49.1053 |
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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-large-samsum |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2066 |
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- Rouge1: 49.1053 |
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- Rouge2: 25.4565 |
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- Rougel: 41.9146 |
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- Rougelsum: 45.3592 |
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- Gen Len: 17.1380 |
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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 | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 1.1847 | 1.0 | 1844 | 1.2066 | 49.1053 | 25.4565 | 41.9146 | 45.3592 | 17.1380 | |
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| 1.0533 | 2.0 | 3688 | 1.2126 | 49.5421 | 26.1526 | 42.1131 | 45.5735 | 17.2564 | |
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| 0.9521 | 3.0 | 5532 | 1.2315 | 49.7252 | 26.1855 | 42.2726 | 45.747 | 17.3358 | |
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| 0.8746 | 4.0 | 7376 | 1.2510 | 49.4306 | 25.9048 | 41.9821 | 45.4322 | 17.4750 | |
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| 0.8334 | 5.0 | 9220 | 1.2631 | 49.4852 | 25.9416 | 42.0469 | 45.5014 | 17.3944 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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