| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - summarization | |
| metrics: | |
| - rouge | |
| datasets: | |
| - stacked-summaries/stacked-samsum-1024 | |
| model-index: | |
| - name: flan-t5-large-stacked-samsum1024-WIP3 | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| config: samsum | |
| split: test | |
| metrics: | |
| - name: ROUGE-1 | |
| type: rouge | |
| value: 47.6682 | |
| verified: true | |
| - name: ROUGE-2 | |
| type: rouge | |
| value: 23.3053 | |
| verified: true | |
| - name: ROUGE-L | |
| type: rouge | |
| value: 39.7678 | |
| verified: true | |
| - name: ROUGE-LSUM | |
| type: rouge | |
| value: 43.259 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 2.372586965560913 | |
| verified: true | |
| - name: gen_len | |
| type: gen_len | |
| value: 17.4237 | |
| verified: true | |
| # flan-t5-large-stacked-samsum1024-WIP3 | |
| This model is a fine-tuned version of [pszemraj/flan-t5-large-stacked-samsum1024-WIP2](https://huggingface.co/pszemraj/flan-t5-large-stacked-samsum1024-WIP2) on the `stacked-summaries/stacked-samsum-1024` dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.1311 | |
| - Rouge1: 58.1114 | |
| - Rouge2: 29.339 | |
| - Rougel: 44.7611 | |
| - Rougelsum: 54.2823 | |
| - Gen Len: 122.364 | |
| ## 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: 4 | |
| - eval_batch_size: 2 | |
| - seed: 2760 | |
| - distributed_type: multi-GPU | |
| - num_devices: 2 | |
| - gradient_accumulation_steps: 32 | |
| - total_train_batch_size: 256 | |
| - total_eval_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.02 | |
| - num_epochs: 2.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 0.1734 | 1.0 | 115 | 1.8751 | 57.9286 | 29.2743 | 44.7181 | 54.2295 | 122.123 | | |
| | 0.1098 | 2.0 | 230 | 2.1311 | 58.1114 | 29.339 | 44.7611 | 54.2823 | 122.364 | | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |