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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- summarization
datasets:
- samsum
metrics:
- rouge
widget:
- text: 'Olivia: Hey Carter, are you still developing that restaurant business? Carter:
Hi Olivia Carter: Yes, we want to launch next month :) Olivia: Next month? That''s
soon! Congrats :) Carter: thanks, I''m a bit nervous but I seriously believe we''re
delivering something innovative and needed Olivia: I think it''s a great concept
and I am sure you''ll do great! Olivia: I am currently involved with a new restaurant
in the city centre Carter: Which one? Olivia: Spicy and chilled Carter: I heard
about it :) Is it any good? ;) Olivia: I love the restaurant and really like working
there Carter: good for you! Olivia: and here''s the question - are you still looking
for restaurant to include in your discount app? Carter: sure, but I think it would
be better to discuss it in person - would you like to meet up? Olivia: That would
be great!'
example_title: Dialogue 1
- text: 'Chad: Elton John is goat Eva: what do you mean by goat? Frank: greatest of
all time Chad: indeed Eva: ahh... it makes sense now :P'
example_title: Dialogue 2
- text: 'Astonishing X-Men is the name of four X-Men comic book series from Marvel
Comics, the first two of which were limited series. The third volume, an ongoing
series, began in 2004, with its first run written by Joss Whedon and art by John
Cassaday. It was then written by Warren Ellis with art by Simone Bianchi and Phil
Jimenez.[1] Daniel Way and Christos Gage then took over the title writing alternating
stories. They were followed by James Asmus who wrote one issue, then Greg Pak,
who took over for four issues in November 2011.[2] Marjorie Liu wrote the final
21 issues of the series until its end at issue #68 in 2013. The title''s fourth
volume and second ongoing series launched in 2017 during the "ResurrXion" storyline.[3]
The first run was written by Charles Soule and illustrated by a rotating cast
of artists. Matthew Rosenberg and artist Greg Land would then take over the series
before its end in 2018. The original Astonishing X-Men was a four-issue limited
series that replaced Uncanny X-Men during the 1995 alternate universe storyline
"Age of Apocalypse", in which all X-titles were given new names and issue numbers.
In the storyline, Professor X was murdered 20 years in the past by his own son,
Legion. Magneto, witnessing his friend''s death, committed himself to Xavier''s
dream and created his own team of X-Men. However, he was unable to prevent the
rise of the despotic Apocalypse and hence the series primarily dealt with the
X-Men''s battle against him. Astonishing X-Men, written by Scott Lobdell and illustrated
by Joe Madureira, featured a team of X-Men led by Rogue and consisted of Sunfire,
Blink, Morph, Sabretooth and Wildchild. source: https://en.wikipedia.org/wiki/Astonishing_X-Men'
example_title: Wikipedia Article
model-index:
- name: flan-t5-base-samsum
results:
- task:
type: text2text-generation
name: Sequence-to-sequence Language Modeling
dataset:
name: samsum
type: samsum
config: samsum
split: test
args: samsum
metrics:
- type: rouge
value: 46.8876
name: Rouge1
- task:
type: summarization
name: Summarization
dataset:
name: samsum
type: samsum
config: samsum
split: test
metrics:
- type: rouge
value: 47.1604
name: ROUGE-1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzAzNjBhZmU3ZWE1Nzg2OGNmNWQxZTRkMWI3MGJmY2U3NzdiN2NhMzA2ZGY2N2VmOGQzNThkZDg5YmI1NTQzMCIsInZlcnNpb24iOjF9.fj5dvLTJmdTud-r9NBx468b_q7128WFc84Oa_ogUq1YuHfgK9KRBJl0V8YVP-UrVOB-5Mwcy_kVo2gqUq2fQCA
- type: rouge
value: 23.5947
name: ROUGE-2
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2ExZTYyMDMzYjQyZWU0NjY4YWZiN2NjMjAyNzUwMzU3ZjQxOTdjZDdhNjE0MDE1NDVmY2Y5MDEyZTI5ODA5ZCIsInZlcnNpb24iOjF9.4XKnhKi4PtU0KnyXnBDRop-tWwDvAgJqbWkuPAVUPThcCjVrpjLiSgTWP49NEK-l3QBaLluoh7M-OF8OTwasBQ
- type: rouge
value: 39.7299
name: ROUGE-L
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWZiMDU1ODY4Y2ViOWJlZjhhZTAzNjY4NDhjYzdlYzg1MDRmZDM2ZDFkZGVhNjQzMmZjZDA3OWEzYjUzOTU0NCIsInZlcnNpb24iOjF9.EctQIDlK_ksR7NiCtHsxnWWzUF8WNmZ58JIsTUTjQPqmf8Igm82tihK78S4nit7IF24lug5_Ua7X5gWzMHDvDA
- type: rouge
value: 43.3052
name: ROUGE-LSUM
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzQwYTMyOGNlNzJiNDEzMjQ5NzEwMzMyZmRhZDAxOGNhMWNkZjA0YWEyM2NkZGU3ODU3ZDU4ZWFhODkyNzNkOCIsInZlcnNpb24iOjF9.nsQAnUdVTySov7ZkNYJjMbIjb7V87D1w0HFLdOzSq5gaKuZmkAXmh14c_bL4Fbyf3AV_skLCDCJZEnsJHN7mDQ
- type: loss
value: 1.3786224126815796
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDgzMTkxY2EwOWU5MDgyODM3ZjE3MzBiN2Q0YmQ5MDI2MjI2NWNmMjUwZDY4MjZkZDg4ODcwMzVkN2Q4NTRmNSIsInZlcnNpb24iOjF9.vV700h6j3hdlzf-CEDIR3C9XND1jH3nW0r6Njgw0qB3Avfsq6zywr8ip2sxoo6aFCCQcmmcnmHiy7x1_xdwYAA
- type: gen_len
value: 17.3443
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTNjYjFiYjgzNjBlMDY2MWUwZTVmY2Y1OWMwNGZkZTg0Mzc5ZmU2MWIwOWZlYWMzZGM1YWI0NTJjOTFhOTU2YiIsInZlcnNpb24iOjF9.-RshHr8uVG0B4qGh5Tr3bgqqai9R_Xho0M9iQyd5g0fyQJlYhIT12cUkcy2_NKUJEqu_JxSul723UWpiZgBHAQ
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3709
- Rouge1: 46.8876
- Rouge2: 23.2689
- Rougel: 39.5369
- Rougelsum: 43.1602
- Gen Len: 17.2027
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4403 | 1.0 | 1842 | 1.3829 | 46.5321 | 23.0912 | 39.4008 | 42.8993 | 17.0977 |
| 1.3534 | 2.0 | 3684 | 1.3732 | 47.1111 | 23.4456 | 39.5462 | 43.2534 | 17.4554 |
| 1.2795 | 3.0 | 5526 | 1.3709 | 46.8876 | 23.2689 | 39.5369 | 43.1602 | 17.2027 |
| 1.2313 | 4.0 | 7368 | 1.3736 | 47.4418 | 23.701 | 39.9856 | 43.6294 | 17.2198 |
| 1.1934 | 5.0 | 9210 | 1.3772 | 47.4656 | 23.9199 | 40.0284 | 43.7039 | 17.3162 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2 |