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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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metrics: |
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- rouge |
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datasets: |
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- stacked-summaries/stacked-samsum-1024 |
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model-index: |
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- name: flan-t5-large-stacked-samsum1024-WIP3 |
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results: |
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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: samsum |
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type: samsum |
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config: samsum |
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split: test |
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metrics: |
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- name: ROUGE-1 |
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type: rouge |
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value: 47.6682 |
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verified: true |
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- name: ROUGE-2 |
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type: rouge |
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value: 23.3053 |
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verified: true |
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- name: ROUGE-L |
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type: rouge |
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value: 39.7678 |
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verified: true |
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- name: ROUGE-LSUM |
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type: rouge |
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value: 43.259 |
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verified: true |
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- name: loss |
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type: loss |
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value: 2.372586965560913 |
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verified: true |
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- name: gen_len |
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type: gen_len |
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value: 17.4237 |
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verified: true |
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--- |
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# flan-t5-large-stacked-samsum1024-WIP3 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1311 |
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- Rouge1: 58.1114 |
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- Rouge2: 29.339 |
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- Rougel: 44.7611 |
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- Rougelsum: 54.2823 |
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- Gen Len: 122.364 |
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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: 0.0006 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 2760 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 4 |
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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: 0.02 |
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- num_epochs: 2.0 |
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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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| 0.1734 | 1.0 | 115 | 1.8751 | 57.9286 | 29.2743 | 44.7181 | 54.2295 | 122.123 | |
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| 0.1098 | 2.0 | 230 | 2.1311 | 58.1114 | 29.339 | 44.7611 | 54.2823 | 122.364 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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