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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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datasets: |
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- samsum |
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metrics: |
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- rouge |
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widget: |
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- text: > |
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Olivia: Hey Carter, are you still developing that restaurant business? |
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Carter: Hi Olivia Carter: Yes, we want to launch next month :) Olivia: |
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Next month? That's soon! Congrats :) Carter: thanks, I'm a bit nervous but |
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I seriously believe we're delivering something innovative and needed |
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Olivia: I think it's a great concept and I am sure you'll do great! Olivia: |
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I am currently involved with a new restaurant in the city centre Carter: |
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Which one? Olivia: Spicy and chilled Carter: I heard about it :) Is it any |
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good? ;) Olivia: I love the restaurant and really like working there |
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Carter: good for you! Olivia: and here's the question - are you still |
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looking for restaurant to include in your discount app? Carter: sure, but I |
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think it would be better to discuss it in person - would you like to meet |
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up? Olivia: That would be great! |
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- type: text |
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model-index: |
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- name: flan-t5-base-samsum |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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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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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 46.8876 |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# flan-t5-base-samsum |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3709 |
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- Rouge1: 46.8876 |
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- Rouge2: 23.2689 |
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- Rougel: 39.5369 |
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- Rougelsum: 43.1602 |
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- Gen Len: 17.2027 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 1.4403 | 1.0 | 1842 | 1.3829 | 46.5321 | 23.0912 | 39.4008 | 42.8993 | 17.0977 | |
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| 1.3534 | 2.0 | 3684 | 1.3732 | 47.1111 | 23.4456 | 39.5462 | 43.2534 | 17.4554 | |
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| 1.2795 | 3.0 | 5526 | 1.3709 | 46.8876 | 23.2689 | 39.5369 | 43.1602 | 17.2027 | |
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| 1.2313 | 4.0 | 7368 | 1.3736 | 47.4418 | 23.701 | 39.9856 | 43.6294 | 17.2198 | |
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| 1.1934 | 5.0 | 9210 | 1.3772 | 47.4656 | 23.9199 | 40.0284 | 43.7039 | 17.3162 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
