| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | - summarization |
| | datasets: |
| | - xsum |
| | - autoevaluate/xsum-sample |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: summarization |
| | results: |
| | - task: |
| | type: text2text-generation |
| | name: Sequence-to-sequence Language Modeling |
| | dataset: |
| | name: xsum |
| | type: xsum |
| | args: default |
| | metrics: |
| | - type: rouge |
| | value: 23.9405 |
| | name: Rouge1 |
| | - task: |
| | type: summarization |
| | name: Summarization |
| | dataset: |
| | name: autoevaluate/xsum-sample |
| | type: autoevaluate/xsum-sample |
| | config: autoevaluate--xsum-sample |
| | split: test |
| | metrics: |
| | - type: rouge |
| | value: 18.3841 |
| | name: ROUGE-1 |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYyOTMyYjUyZDU5MWUzOWNkYTcxYWRhMDJiMGUyYmJkNTc4Mjc4YjM2ODQ1ZTU3YWFhNzU0ZTcxYjVhODgyYSIsInZlcnNpb24iOjF9.Cgyt2MvDbRO7n7Yv4LCUp0hd_zunJFWB5q59p63-qHQdojgY83pnp6mK4Do2OCdvWW9PZQCBhC6PBc4FLrrmBw |
| | - type: rouge |
| | value: 3.0683 |
| | name: ROUGE-2 |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDEyYWE4YjI3YTQzNGNhMDZkNGZhNjgwMTAzOGFlMjNiN2Y1ZWU1MGFmZWQ1ZjZjMmFiNDAyYTY2ZWZiZTg3MyIsInZlcnNpb24iOjF9.Yu8URVvUyAfIkXUekW2i_sA2JQuy-DTzuSmd4x9ZvrnrwTgMp0j5-Y5DxkgBVmMkx6ALciWtGB7rEvsxPZXmDg |
| | - type: rouge |
| | value: 14.8213 |
| | name: ROUGE-L |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU5NjQ4NzVhMTVmZWQwZWI0MjA5MDJkMzQ3MTA2YzJlNTBiYzczYjIzY2MzZGIyYTU2Y2ViMTA1NTc5YWI1OSIsInZlcnNpb24iOjF9.Y63H8nXf3HpaCcekMrlr62zCginIFK5HHfZ_4vsYG8vTvhazvNAOB1ahdgg4gwZZtotdgNOv2jEu-LY1QTApCQ |
| | - type: rouge |
| | value: 14.8475 |
| | name: ROUGE-LSUM |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjAxM2QyMzQ5OWJhNGNmYzU0YjMyMzkxNjk4MTdmMDhmODNmZjVlOTU2NTU0N2M1MTFkYWU3ZmNkNzM0YjJjMSIsInZlcnNpb24iOjF9.otRM0NSyExwRs2RomqaMVGRJEE3wM34FGlnmY_2k1T1bQSQHPdHXTcRSh6vyYW-hCmCE1K0ILV2kyIR8pu7FDA |
| | - type: loss |
| | value: 3.0104541778564453 |
| | name: loss |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjc0YjFmZTBhZTNkMDczYzczZDk5YTdiNzg4MDUwODI0NDQyODg2MGIxYzRkMzBkMTU4ZDQxYjJlZTRjZGMwMyIsInZlcnNpb24iOjF9.dl4Nqw9EAQSbnc9JqLDu6sCt3P73G_53zc0Yh9d8Um4up3PISjkZNQDxqKQ68N_vgU0s0IGHQLxxJYgUkSgwBg |
| | - type: gen_len |
| | value: 18.05 |
| | name: gen_len |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWU3N2NkMmRhZjQ1YzYyOTNiNzJiMmNkMzlmYjYxMGVhNjhkMGQyZjliYmUyNGU0MTEwOGM3NWFmYmZjODhmOSIsInZlcnNpb24iOjF9.vgT2OjClJ21_tnYr933is4DqCgxKNQ0GlhrTWpUqFhypHkX_w1lZZi-DnIT8GdyLZBXpZkCFwWYi6jeXDGKnCQ |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # summarization |
| |
|
| | This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.6690 |
| | - Rouge1: 23.9405 |
| | - Rouge2: 5.0879 |
| | - Rougel: 18.4981 |
| | - Rougelsum: 18.5032 |
| | - Gen Len: 18.7376 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 2.9249 | 0.08 | 1000 | 2.6690 | 23.9405 | 5.0879 | 18.4981 | 18.5032 | 18.7376 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.2 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.2.2 |
| | - Tokenizers 0.12.1 |
| |
|
