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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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model-index: |
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- name: summarization |
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results: |
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- task: |
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type: text2text-generation |
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name: Sequence-to-sequence Language Modeling |
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dataset: |
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name: xsum |
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type: xsum |
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args: default |
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metrics: |
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- type: rouge |
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value: 23.9405 |
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name: Rouge1 |
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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: 18.3841 |
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name: ROUGE-1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYyOTMyYjUyZDU5MWUzOWNkYTcxYWRhMDJiMGUyYmJkNTc4Mjc4YjM2ODQ1ZTU3YWFhNzU0ZTcxYjVhODgyYSIsInZlcnNpb24iOjF9.Cgyt2MvDbRO7n7Yv4LCUp0hd_zunJFWB5q59p63-qHQdojgY83pnp6mK4Do2OCdvWW9PZQCBhC6PBc4FLrrmBw |
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- type: rouge |
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value: 3.0683 |
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name: ROUGE-2 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDEyYWE4YjI3YTQzNGNhMDZkNGZhNjgwMTAzOGFlMjNiN2Y1ZWU1MGFmZWQ1ZjZjMmFiNDAyYTY2ZWZiZTg3MyIsInZlcnNpb24iOjF9.Yu8URVvUyAfIkXUekW2i_sA2JQuy-DTzuSmd4x9ZvrnrwTgMp0j5-Y5DxkgBVmMkx6ALciWtGB7rEvsxPZXmDg |
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- type: rouge |
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value: 14.8213 |
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name: ROUGE-L |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU5NjQ4NzVhMTVmZWQwZWI0MjA5MDJkMzQ3MTA2YzJlNTBiYzczYjIzY2MzZGIyYTU2Y2ViMTA1NTc5YWI1OSIsInZlcnNpb24iOjF9.Y63H8nXf3HpaCcekMrlr62zCginIFK5HHfZ_4vsYG8vTvhazvNAOB1ahdgg4gwZZtotdgNOv2jEu-LY1QTApCQ |
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- type: rouge |
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value: 14.8475 |
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name: ROUGE-LSUM |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjAxM2QyMzQ5OWJhNGNmYzU0YjMyMzkxNjk4MTdmMDhmODNmZjVlOTU2NTU0N2M1MTFkYWU3ZmNkNzM0YjJjMSIsInZlcnNpb24iOjF9.otRM0NSyExwRs2RomqaMVGRJEE3wM34FGlnmY_2k1T1bQSQHPdHXTcRSh6vyYW-hCmCE1K0ILV2kyIR8pu7FDA |
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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.eyJoYXNoIjoiMjc0YjFmZTBhZTNkMDczYzczZDk5YTdiNzg4MDUwODI0NDQyODg2MGIxYzRkMzBkMTU4ZDQxYjJlZTRjZGMwMyIsInZlcnNpb24iOjF9.dl4Nqw9EAQSbnc9JqLDu6sCt3P73G_53zc0Yh9d8Um4up3PISjkZNQDxqKQ68N_vgU0s0IGHQLxxJYgUkSgwBg |
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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.eyJoYXNoIjoiZWU3N2NkMmRhZjQ1YzYyOTNiNzJiMmNkMzlmYjYxMGVhNjhkMGQyZjliYmUyNGU0MTEwOGM3NWFmYmZjODhmOSIsInZlcnNpb24iOjF9.vgT2OjClJ21_tnYr933is4DqCgxKNQ0GlhrTWpUqFhypHkX_w1lZZi-DnIT8GdyLZBXpZkCFwWYi6jeXDGKnCQ |
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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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