| tags: | |
| - summarization | |
| - summary | |
| - booksum | |
| - long-document | |
| - long-form | |
| license: | |
| - apache-2.0 | |
| - bsd-3-clause | |
| datasets: | |
| - kmfoda/booksum | |
| metrics: | |
| - rouge | |
| inference: false | |
| model-index: | |
| - name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13 | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| config: samsum | |
| split: test | |
| metrics: | |
| - name: ROUGE-1 | |
| type: rouge | |
| value: 24.4101 | |
| verified: true | |
| - name: ROUGE-2 | |
| type: rouge | |
| value: 5.003 | |
| verified: true | |
| - name: ROUGE-L | |
| type: rouge | |
| value: 17.2544 | |
| verified: true | |
| - name: ROUGE-LSUM | |
| type: rouge | |
| value: 20.9183 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 3.194674015045166 | |
| verified: true | |
| - name: gen_len | |
| type: gen_len | |
| value: 58.9951 | |
| verified: true | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: billsum | |
| type: billsum | |
| config: default | |
| split: test | |
| metrics: | |
| - name: ROUGE-1 | |
| type: rouge | |
| value: 37.3648 | |
| verified: true | |
| - name: ROUGE-2 | |
| type: rouge | |
| value: 12.3316 | |
| verified: true | |
| - name: ROUGE-L | |
| type: rouge | |
| value: 22.075 | |
| verified: true | |
| - name: ROUGE-LSUM | |
| type: rouge | |
| value: 31.1679 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 2.745267391204834 | |
| verified: true | |
| - name: gen_len | |
| type: gen_len | |
| value: 157.3126 | |
| verified: true | |
| # long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13 | |
| > Evaluating some metric results before merging with the "main" wip version | |
| This model is a fine-tuned version of [pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12) on the `kmfoda/booksum`. | |
| The "base" checkpoint that I update when a training session is productive is [here](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP) | |
| ## 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: 0.0006 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - gradient_accumulation_steps: 64 | |
| - total_train_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.01 | |
| - num_epochs: 1.1 | |
| ### Framework versions | |
| - Transformers 4.21.2 | |
| - Pytorch 1.10.0+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |