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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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- summarization |
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datasets: |
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- xsum |
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- autoevaluate/xsum-sample |
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metrics: |
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- rouge |
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duplicated_from: autoevaluate/summarization |
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model-index: |
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- name: autoevaluate/summarization-not-evaluated |
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results: |
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- task: |
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type: summarization |
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name: Summarization |
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dataset: |
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name: autoevaluate/xsum-sample |
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type: autoevaluate/xsum-sample |
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config: autoevaluate--xsum-sample |
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split: test |
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metrics: |
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- type: rouge |
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value: 18.3975 |
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name: ROUGE-1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWVjY2U1N2I3MmI0ZGVhMzQwN2E0NzY0OTk3NDBjNWZhODVkMDQ4ZDMwYzUwYmQ3MDYyZmFmMTM2NGUwNTMzOSIsInZlcnNpb24iOjF9.-1drSQmRK8GwHjrGWpmCzRLWT9NDfImYiLZEsO4doWMsyz7lik00-roc0wFDrp6JpFb5Uc3vvaJ4dg4SlU3pBw |
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- type: rouge |
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value: 3.122 |
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name: ROUGE-2 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmMxMjlkNzE0NTdiMzg3MTViOGM5ZWRlM2E4ODA0NWM2Y2M5NTQwYTI1NTUxMWJmNmIwNjcwNzYyMjZhNDliMSIsInZlcnNpb24iOjF9._qnIJsSZgY-Cr3lfUGOjsRakjg0L8HZmpI_bZnf2FJxJCOIDd4RjPAsibTdZLL5u3nJK72CstIvzLyAzPEdKCA |
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- type: rouge |
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value: 14.8693 |
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name: ROUGE-L |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWZlNDkxODUwYzgxYzMzYzNlYWJlNDQyYTkxM2FjZmYyYjk1MDBlYmVkNGY3OWQxOTBkOGI2NzYwZTlhMGUyZSIsInZlcnNpb24iOjF9.eV8j4NkoIp2vhbXZGE6Np_DMc7zBB5gycg_wCcejCJ72vN_Pog8K_2Ltu2N-vtStJrM_3QmbZMnWMS0OgCDlCA |
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- type: rouge |
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value: 14.8537 |
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name: ROUGE-LSUM |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBjOWVhOTNmN2NiYjQyZmYwMzc1NTRjODIwYWY5MDIzYWU2MmQ0N2MxZjUyNDU4MDEzZWM0N2FjNGQxZmQ3NiIsInZlcnNpb24iOjF9.tUF5mFbt4iw3NXX8zmxAWLGKxiOJ0N6pMuot2EiPnGsCKv_s6zKf-Akc1NA89TjLGc8lMvUkKJyFbqIU1n9eBg |
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- type: loss |
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value: 3.0104541778564453 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTM5NDI0ZjMxOWIwZGFhZTkxMzNkOGRiNjM4YTAxODkyMmZhOGYzNjQ0MTVmZWEyZWU5MTRlODM5YWYzYmIxYiIsInZlcnNpb24iOjF9.uCcjMNr5q_pL6HbVF5cwkh9yO2ni5GieWg5oWjhFWv5ZslnB7OqskPdLt_P3YMYQRUkYRamzdYQYh5qJB7oYCA |
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- type: gen_len |
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value: 18.05 |
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name: gen_len |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZhNmYxNjYxNTQ4MzA0YTNhYTIwMzVhZTNlMGE5MmI5M2JkZDY4MzA3YTY1Zjk4NjRhNjY5NjcxYjcwYmU3NSIsInZlcnNpb24iOjF9.JKyvAJB5uFL6srWzoj9P_OIK9tnT7GW8mGPFVNrY6SxjbupdIry2iPrM5YpBdt6sLeS5_DgdP80OGGjwfwBiBQ |
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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 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6690 |
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- Rouge1: 23.9405 |
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- Rouge2: 5.0879 |
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- Rougel: 18.4981 |
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- Rougelsum: 18.5032 |
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- Gen Len: 18.7376 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- training_steps: 1000 |
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- mixed_precision_training: Native AMP |
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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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| 2.9249 | 0.08 | 1000 | 2.6690 | 23.9405 | 5.0879 | 18.4981 | 18.5032 | 18.7376 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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