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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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- shared_TaskA |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-base-dialogue |
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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: shared_TaskA |
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type: shared_TaskA |
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config: shared_TaskA |
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split: train |
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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: 28.1748 |
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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-samsum |
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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 shared_TaskA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5153 |
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- Rouge1: 28.1748 |
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- Rouge2: 14.384 |
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- Rougel: 27.6673 |
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- Rougelsum: 27.8465 |
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- Gen Len: 18.85 |
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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 Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len |
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No log 2.554769 27.797100 14.471000 27.468300 27.617000 18.970000 |
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No log 2.515381 28.174800 14.384000 27.667300 27.846500 18.850000 |
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No log 2.542737 27.982600 14.754000 27.559000 27.834200 18.800000 |
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1.809200 2.528819 28.010600 15.268300 27.816000 27.999000 18.690000 |
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1.809200 2.534979 28.104800 15.248000 27.840400 28.069500 18.670000 |
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