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--- |
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license: apache-2.0 |
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tags: |
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- summarization |
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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: t5-base-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: validation |
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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: 48.9131 |
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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-base-samsum |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6172 |
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- Rouge1: 48.9131 |
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- Rouge2: 25.4942 |
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- Rougel: 41.2363 |
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- Rougelsum: 45.3434 |
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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: 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 0.7606 | 1.0 | 3683 | 0.6254 | 46.9778 | 23.8245 | 39.8294 | 43.4639 | |
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| 0.6273 | 2.0 | 7366 | 0.6119 | 48.2515 | 24.7534 | 40.4415 | 44.5567 | |
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| 0.5769 | 3.0 | 11049 | 0.6116 | 48.228 | 24.7865 | 40.7537 | 44.4026 | |
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| 0.5412 | 4.0 | 14732 | 0.6145 | 48.8563 | 25.356 | 41.1913 | 45.186 | |
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| 0.5199 | 5.0 | 18415 | 0.6172 | 48.9131 | 25.4942 | 41.2363 | 45.3434 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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