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--- |
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license: |
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- apache-2.0 |
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- bsd-3-clause |
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tags: |
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- summarization |
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- summary |
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- booksum |
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- long-document |
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- long-form |
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datasets: |
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- kmfoda/booksum |
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inference: false |
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base_model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16 |
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model-index: |
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- name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17 |
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results: |
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- task: |
|
type: summarization |
|
name: Summarization |
|
dataset: |
|
name: launch/gov_report |
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type: launch/gov_report |
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config: plain_text |
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split: test |
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metrics: |
|
- type: rouge |
|
value: 36.8427 |
|
name: ROUGE-1 |
|
verified: true |
|
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|
- type: rouge |
|
value: 8.4234 |
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name: ROUGE-2 |
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verified: true |
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- type: rouge |
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value: 17.774 |
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name: ROUGE-L |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjRkYTcyMzJiNzY5NWMwYzg2YmFkYTZiMzgxMzJjZDcwOTg3MWZmNTk3OTYzNzFkOGEyNTg4NmU0MjJlZDRlOCIsInZlcnNpb24iOjF9.Cd4LtEHKbEp-n42rDJb7KFqNlCUBKgCTz8sTNgkZVYJqY-rV5JGZtDz5mawNSbJTMn7rNnBNmaU4V99MGQyiBw |
|
- type: rouge |
|
value: 33.2901 |
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name: ROUGE-LSUM |
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verified: true |
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- type: loss |
|
value: 3.765686511993408 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTJjNzU1OWEwOWZiYzM2Zjk0ZjZhYmRmYjczMTJlZGFjOTNjZTY4Mjg3NTRiMTAzN2NlYTEyNjU2YWY5M2E5NiIsInZlcnNpb24iOjF9.Q4FFH8cbGLzaZWJUrSKeZl1os7h9S12v8a__oIoeeWL-c9GXVyNdtb5q-eb7r-4G5i9ytBc9NM6n90nuO353Aw |
|
- type: gen_len |
|
value: 213.8849 |
|
name: gen_len |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTg3NGMwMTY0M2Y0M2JiOTFhNTQ2ODgxNzZjNTAwNjI4YmRhZTllNTU5ZjE5OGE2Y2EwZmI2YTQ3ZTQxNTFkNiIsInZlcnNpb24iOjF9.8yc25qbswrqJa56hlM1vvlD-Re7R1n3Q9_3U4c9OEzC9XIf8ir3zUQOrEZUb9vm5_H9a8QoiEXUcZG6Bq4fTAQ |
|
- task: |
|
type: summarization |
|
name: Summarization |
|
dataset: |
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name: kmfoda/booksum |
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type: kmfoda/booksum |
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config: kmfoda--booksum |
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split: test |
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metrics: |
|
- type: rouge |
|
value: 35.4324 |
|
name: ROUGE-1 |
|
verified: true |
|
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- type: rouge |
|
value: 5.9586 |
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name: ROUGE-2 |
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verified: true |
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- type: rouge |
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value: 16.134 |
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name: ROUGE-L |
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verified: true |
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- type: rouge |
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value: 32.4141 |
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name: ROUGE-LSUM |
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verified: true |
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|
- type: loss |
|
value: 3.050943374633789 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDllNjgzMWZjNzNhZmFlZWQ4OTY3MTVjY2FkOGEzYjFkOGNhNzM3MjhhNTUyNWI5ODhhNTk2MDhlODNhNGMxOCIsInZlcnNpb24iOjF9.5S2y4SbzKWu6BHlnyUH2R9jwO780INnzqQbdKHXizkJKvX8g9qpuYB0Iu41e1aWqmePdY0JbVUqhG3Xfo2otBA |
|
- type: gen_len |
|
value: 279.8735 |
|
name: gen_len |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmRhZTY2MDMwMTk2ZGFjNTJhN2Q4NmNjYjRjNjgzMzljNzBiYjEwNTgzZGNhYmY5MGNhYTY2MzE0OTlhNGNhZSIsInZlcnNpb24iOjF9.epjIxFmPlfDHJc--eJIo8AgnkjQBDLokICjxVqwyHiE6T0Hlj8D69RhOplEIDwMQyXC5usfkF0zW7ib8JuhyCg |
|
- task: |
|
type: summarization |
|
name: Summarization |
|
dataset: |
|
name: billsum |
|
type: billsum |
|
config: default |
|
split: test |
|
metrics: |
|
- type: rouge |
|
value: 38.066 |
|
name: ROUGE-1 |
|
verified: true |
|
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value: 12.5289 |
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name: ROUGE-2 |
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verified: true |
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value: 22.3393 |
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name: ROUGE-L |
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verified: true |
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name: ROUGE-LSUM |
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verified: true |
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|
--- |
|
|
|
|
|
# long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17 |
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|
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This model is a fine-tuned version of [pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16) on the kmfoda/booksum dataset. |
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|
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## Model description |
|
|
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More information needed |
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|
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## Intended uses & limitations |
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|
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More information needed |
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|
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## Training and evaluation data |
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|
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More information needed |
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|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 3 |
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|
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### Framework versions |
|
|
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- Transformers 4.23.0.dev0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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|
