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--- |
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tags: |
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- summarization |
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languages: |
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- it |
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metrics: |
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- rouge |
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model-index: |
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- name: summarization_mlsum |
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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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# summarization_mlsum |
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This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0190 |
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- Rouge1: 19.2854 |
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- Rouge2: 6.0392 |
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- Rougel: 16.4987 |
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- Rougelsum: 16.616 |
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- Gen Len: 32.7635 |
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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: 6 |
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- eval_batch_size: 6 |
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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: 4.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.12.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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