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--- |
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language: en |
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datasets: |
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- ccdv/pubmed-summarization |
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license: apache-2.0 |
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--- |
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## Introduction |
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[Google's LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) introduced as an extension of a successful [T5 model](https://arxiv.org/pdf/1910.10683.pdf). |
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This is an unofficial *longt5-large-16384-pubmed-3k_steps* checkpoint. I.e., this is a large configuration of the LongT5 model with a `transient-global` attention fine-tuned on [pubmed summarization dataset](https://huggingface.co/datasets/ccdv/pubmed-summarization) for 3,000 training steps. |
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## Results and Fine-tuning Details |
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The fine-tuned model achieves the following results on the evaluation set using `beam_search=3` and without any specific calibration of generation parameters: |
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| Metric | Score | |
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| --- | --- | |
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| Rouge-1 | 47.44 | |
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| Rouge-2 | 22.68 | |
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| Rouge-L | 29.83 | |
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| Rouge-Lsum | 43.13 | |
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The full training hyper-parameters and logs can be found via the following [W&B run](https://wandb.ai/stancld/LongT5/runs/1lwncl8a?workspace=user-stancld). The model was trained using the [HuggingFace's trainer](https://github.com/huggingface/transformers/blob/main/src/transformers/trainer_seq2seq.py). |
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The only specific adjustment, I made for the training, was dropping very short sequences (less than 16 tokens) as this sequences do not contribute to gradient creation in the *transient-global* attention, which resulted in training crashes when DDP used. |
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## Usage |
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```python |
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LONG_ARTICLE = """"anxiety affects quality of life in those living |
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with parkinson 's disease ( pd ) more so than |
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overall cognitive status , motor deficits , apathy |
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, and depression [ 13 ] . although anxiety and |
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depression are often related and coexist in pd |
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patients , recent research suggests that anxiety |
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rather than depression is the most prominent and |
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prevalent mood disorder in pd [ 5 , 6 ] . yet , |
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our current understanding of anxiety and its |
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impact on cognition in pd , as well as its neural |
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basis and best treatment practices , remains |
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meager and lags far behind that of depression . |
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overall , neuropsychiatric symptoms in pd have |
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been shown to be negatively associated with |
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cognitive performance . for example , higher |
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depression scores have been correlated with lower |
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scores on the mini - mental state exam ( mmse ) [ |
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8 , 9 ] as well as tests of memory and executive |
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functions ( e.g. , attention ) [ 1014 ] . likewise |
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, apathy and anhedonia in pd patients have been |
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associated with executive dysfunction [ 10 , 1523 |
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] . however , few studies have specifically |
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investigated the relationship between anxiety and |
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cognition in pd . one study showed a strong |
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negative relationship between anxiety ( both state |
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and trait ) and overall cognitive performance ( |
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measured by the total of the repeatable battery |
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for the assessment of neuropsychological status |
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index ) within a sample of 27 pd patients . |
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furthermore , trait anxiety was negatively |
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associated with each of the cognitive domains |
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assessed by the rbans ( i.e. , immediate memory , |
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visuospatial construction , language , attention , |
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and delayed memory ) . two further studies have |
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examined whether anxiety differentially affects |
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cognition in patients with left - sided dominant |
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pd ( lpd ) versus right - sided dominant pd ( rpd |
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) ; however , their findings were inconsistent . |
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the first study found that working memory |
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performance was worse in lpd patients with anxiety |
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compared to rpd patients with anxiety , whereas |
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the second study reported that , in lpd , apathy |
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but not anxiety was associated with performance on |
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nonverbally mediated executive functions and |
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visuospatial tasks ( e.g. , tmt - b , wms - iii |
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spatial span ) , while in rpd , anxiety but not |
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apathy significantly correlated with performance |
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on verbally mediated tasks ( e.g. , clock reading |
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test and boston naming test ) . furthermore , |
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anxiety was significantly correlated with |
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neuropsychological measures of attention and |
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executive and visuospatial functions . taken |
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together , it is evident that there are limited |
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and inconsistent findings describing the |
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relationship between anxiety and cognition in pd |
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and more specifically how anxiety might influence |
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particular domains of cognition such as attention |
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and memory and executive functioning . it is also |
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striking that , to date , no study has examined |
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the influence of anxiety on cognition in pd by |
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directly comparing groups of pd patients with and |
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without anxiety while excluding depression . given |
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that research on healthy young adults suggests |
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that anxiety reduces processing capacity and |
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impairs processing efficiency , especially in the |
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central executive and attentional systems of |
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working memory [ 26 , 27 ] , we hypothesized that |
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pd patients with anxiety would show impairments in |
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attentional set - shifting and working memory |
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compared to pd patients without anxiety . |
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furthermore , since previous work , albeit limited |
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, has focused on the influence of symptom |
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laterality on anxiety and cognition , we also |
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explored this relationship . seventeen pd patients |
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with anxiety and thirty - three pd patients |
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without anxiety were included in this study ( see |
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table 1 ) . the cross - sectional data from these |
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participants was taken from a patient database |
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that has been compiled over the past 8 years ( |
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since 2008 ) at the parkinson 's disease research |
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clinic at the brain and mind centre , university |
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of sydney . inclusion criteria involved a |
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diagnosis of idiopathic pd according to the united |
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kingdom parkinson 's disease society brain bank |
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criteria and were confirmed by a neurologist ( |
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sjgl ) . patients also had to have an adequate |
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proficiency in english and have completed a full |
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neuropsychological assessment . ten patients in |
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this study ( 5 pd with anxiety ; 5 pd without |
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anxiety ) were taking psychotropic drugs ( i.e. , |
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benzodiazepine or selective serotonin reuptake |
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inhibitor ) . patients were also excluded if they |
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had other neurological disorders , psychiatric |
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disorders other than affective disorders ( such as |
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anxiety ) , or if they reported a score greater |
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than six on the depression subscale of the |
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hospital anxiety and depression scale ( hads ) . |
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thus , all participants who scored within a |
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depressed ( hads - d > 6 ) range were excluded |
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from this study , in attempt to examine a refined |
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sample of pd patients with and without anxiety in |
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order to determine the independent effect of |
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anxiety on cognition . this research was approved |
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by the human research ethics committee of the |
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university of sydney , and written informed |
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consent was obtained from all participants . self |
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- reported hads was used to assess anxiety in pd |
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and has been previously shown to be a useful |
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measure of clinical anxiety in pd . a cut - off |
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score of > 8 on the anxiety subscale of the hads ( |
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hads - a ) was used to identify pd cases with |
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anxiety ( pda+ ) , while a cut - off score of < 6 |
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on the hads - a was used to identify pd cases |
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without anxiety ( pda ) . this criterion was more |
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stringent than usual ( > 7 cut - off score ) , in |
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effort to create distinct patient groups . the |
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neurological evaluation rated participants |
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according to hoehn and yahr ( h&y ) stages and |
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assessed their motor symptoms using part iii of |
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the revised mds task force unified parkinson 's |
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disease rating scale ( updrs ) . in a similar way |
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this was determined by calculating a total left |
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and right score from rigidity items 3035 , |
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voluntary movement items 3643 , and tremor items |
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5057 from the mds - updrs part iii ( see table 1 ) |
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. processing speed was assessed using the trail |
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making test , part a ( tmt - a , z - score ) . |
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attentional set - shifting was measured using the |
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trail making test , part b ( tmt - b , z - score ) |
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. working memory was assessed using the digit span |
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forward and backward subtest of the wechsler |
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memory scale - iii ( raw scores ) . language was |
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assessed with semantic and phonemic verbal fluency |
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via the controlled oral word associated test ( |
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cowat animals and letters , z - score ) . the |
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ability to retain learned verbal memory was |
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assessed using the logical memory subtest from the |
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wechsler memory scale - iii ( lm - i z - score , |
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lm - ii z - score , % lm retention z - score ) . |
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the mini - mental state examination ( mmse ) |
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demographic , clinical , and neuropsychological |
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variables were compared between the two groups |
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with the independent t - test or mann whitney u |
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test , depending on whether the variable met |
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parametric assumptions . chi - square tests were |
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used to examine gender and symptom laterality |
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differences between groups . all analyses employed |
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an alpha level of p < 0.05 and were two - tailed . |
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spearman correlations were performed separately in |
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each group to examine associations between anxiety |
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and/or depression ratings and cognitive functions |
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. as expected , the pda+ group reported |
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significant greater levels of anxiety on the hads |
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- a ( u = 0 , p < 0.001 ) and higher total score |
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on the hads ( u = 1 , p < 0.001 ) compared to the |
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pda group ( table 1 ) . groups were matched in age |
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( t(48 ) = 1.31 , p = 0.20 ) , disease duration ( |
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u = 259 , p = 0.66 ) , updrs - iii score ( u = |
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250.5 , p = 0.65 ) , h&y ( u = 245 , p = 0.43 ) , |
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ledd ( u = 159.5 , p = 0.80 ) , and depression ( |
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hads - d ) ( u = 190.5 , p = 0.06 ) . additionally |
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, all groups were matched in the distribution of |
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gender ( = 0.098 , p = 0.75 ) and side - affected |
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( = 0.765 , p = 0.38 ) . there were no group |
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differences for tmt - a performance ( u = 256 , p |
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= 0.62 ) ( table 2 ) ; however , the pda+ group |
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had worse performance on the trail making test |
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part b ( t(46 ) = 2.03 , p = 0.048 ) compared to |
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the pda group ( figure 1 ) . the pda+ group also |
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demonstrated significantly worse performance on |
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the digit span forward subtest ( t(48 ) = 2.22 , p |
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= 0.031 ) and backward subtest ( u = 190.5 , p = |
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0.016 ) compared to the pda group ( figures 2(a ) |
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and 2(b ) ) . neither semantic verbal fluency ( |
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t(47 ) = 0.70 , p = 0.49 ) nor phonemic verbal |
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fluency ( t(47 ) = 0.39 , p = 0.70 ) differed |
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between groups . logical memory i immediate recall |
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test ( u = 176 , p = 0.059 ) showed a trend that |
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the pda+ group had worse new verbal learning and |
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immediate recall abilities than the pda group . |
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however , logical memory ii test performance ( u = |
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219 , p = 0.204 ) and logical memory % retention ( |
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u = 242.5 , p = 0.434 ) did not differ between |
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groups . there were also no differences between |
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groups in global cognition ( mmse ) ( u = 222.5 , |
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p = 0.23 ) . participants were split into lpd and |
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rpd , and then further group differences were |
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examined between pda+ and pda. importantly , the |
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groups remained matched in age , disease duration |
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, updrs - iii , dde , h&y stage , and depression |
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but remained significantly different on self - |
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reported anxiety . lpda+ demonstrated worse |
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performance on the digit span forward test ( t(19 |
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) = 2.29 , p = 0.033 ) compared to lpda , whereas |
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rpda+ demonstrated worse performance on the digit |
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span backward test ( u = 36.5 , p = 0.006 ) , lm - |
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i immediate recall ( u = 37.5 , p = 0.008 ) , and |
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lm - ii ( u = 45.0 , p = 0.021 ) but not lm % |
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retention ( u = 75.5 , p = 0.39 ) compared to |
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rpda. this study is the first to directly compare |
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cognition between pd patients with and without |
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anxiety . the findings confirmed our hypothesis |
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that anxiety negatively influences attentional set |
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- shifting and working memory in pd . more |
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specifically , we found that pd patients with |
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anxiety were more impaired on the trail making |
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test part b which assessed attentional set - |
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shifting , on both digit span tests which assessed |
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working memory and attention , and to a lesser |
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extent on the logical memory test which assessed |
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memory and new verbal learning compared to pd |
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patients without anxiety . taken together , these |
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findings suggest that anxiety in pd may reduce |
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processing capacity and impair processing |
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efficiency , especially in the central executive |
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and attentional systems of working memory in a |
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similar way as seen in young healthy adults [ 26 , |
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27 ] . although the neurobiology of anxiety in pd |
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remains unknown , many researchers have postulated |
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that anxiety disorders are related to |
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neurochemical changes that occur during the early |
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, premotor stages of pd - related degeneration [ |
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37 , 38 ] such as nigrostriatal dopamine depletion |
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, as well as cell loss within serotonergic and |
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noradrenergic brainstem nuclei ( i.e. , raphe |
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nuclei and locus coeruleus , resp . , which |
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provide massive inputs to corticolimbic regions ) |
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. over time , chronic dysregulation of |
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adrenocortical and catecholamine functions can |
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lead to hippocampal damage as well as |
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dysfunctional prefrontal neural circuitries [ 39 , |
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40 ] , which play a key role in memory and |
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attention . recent functional neuroimaging work |
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has suggested that enhanced hippocampal activation |
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during executive functioning and working memory |
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tasks may represent compensatory processes for |
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impaired frontostriatal functions in pd patients |
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compared to controls . therefore , chronic stress |
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from anxiety , for example , may disrupt |
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compensatory processes in pd patients and explain |
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the cognitive impairments specifically in working |
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memory and attention seen in pd patients with |
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anxiety . it has also been suggested that |
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hyperactivation within the putamen may reflect a |
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compensatory striatal mechanism to maintain normal |
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working memory performance in pd patients ; |
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however , losing this compensatory activation has |
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been shown to contribute to poor working memory |
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performance . anxiety in mild pd has been linked |
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to reduced putamen dopamine uptake which becomes |
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more extensive as the disease progresses . this |
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further supports the notion that anxiety may |
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disrupt compensatory striatal mechanisms as well , |
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providing another possible explanation for the |
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cognitive impairments observed in pd patients with |
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anxiety in this study . noradrenergic and |
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serotonergic systems should also be considered |
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when trying to explain the mechanisms by which |
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anxiety may influence cognition in pd . although |
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these neurotransmitter systems are relatively |
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understudied in pd cognition , treating the |
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noradrenergic and serotonergic systems has shown |
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beneficial effects on cognition in pd . selective |
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serotonin reuptake inhibitor , citalopram , was |
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shown to improve response inhibition deficits in |
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pd , while noradrenaline reuptake blocker , |
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atomoxetine , has been recently reported to have |
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promising effects on cognition in pd [ 45 , 46 ] . |
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overall , very few neuroimaging studies have been |
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conducted in pd in order to understand the neural |
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correlates of pd anxiety and its underlying neural |
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pathology . future research should focus on |
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relating anatomical changes and neurochemical |
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changes to neural activation in order to gain a |
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clearer understanding on how these pathologies |
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affect anxiety in pd . to further understand how |
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anxiety and cognitive dysfunction are related , |
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future research should focus on using advanced |
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structural and function imaging techniques to |
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explain both cognitive and neural breakdowns that |
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are associated with anxiety in pd patients . |
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research has indicated that those with amnestic |
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mild cognitive impairment who have more |
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neuropsychiatric symptoms have a greater risk of |
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developing dementia compared to those with fewer |
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neuropsychiatric symptoms . future studies should |
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also examine whether treating neuropsychiatric |
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symptoms might impact the progression of cognitive |
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decline and improve cognitive impairments in pd |
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patients . previous studies have used pd symptom |
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laterality as a window to infer asymmetrical |
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dysfunction of neural circuits . for example , lpd |
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patients have greater inferred right hemisphere |
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pathology , whereas rpd patients have greater |
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inferred left hemisphere pathology . thus , |
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cognitive domains predominantly subserved by the |
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left hemisphere ( e.g. , verbally mediated tasks |
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of executive function and verbal memory ) might be |
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hypothesized to be more affected in rpd than lpd ; |
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however , this remains controversial . it has also |
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been suggested that since anxiety is a common |
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feature of left hemisphere involvement [ 48 , 49 ] |
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, cognitive domains subserved by the left |
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hemisphere may also be more strongly related to |
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anxiety . results from this study showed selective |
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verbal memory deficits in rpd patients with |
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anxiety compared to rpd without anxiety , whereas |
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lpd patients with anxiety had greater attentional |
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/ working memory deficits compared to lpd without |
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anxiety . although these results align with |
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previous research , interpretations of these |
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findings should be made with caution due to the |
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small sample size in the lpd comparison |
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specifically . recent work has suggested that the |
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hads questionnaire may underestimate the burden of |
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anxiety related symptomology and therefore be a |
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less sensitive measure of anxiety in pd [ 30 , 50 |
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] . in addition , our small sample size also |
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limited the statistical power for detecting |
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significant findings . based on these limitations |
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, our findings are likely conservative and |
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underrepresent the true impact anxiety has on |
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cognition in pd . additionally , the current study |
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employed a very brief neuropsychological |
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assessment including one or two tests for each |
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cognitive domain . future studies are encouraged |
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to collect a more complex and comprehensive |
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battery from a larger sample of pd participants in |
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order to better understand the role anxiety plays |
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on cognition in pd . another limitation of this |
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study was the absence of diagnostic interviews to |
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characterize participants ' psychiatric symptoms |
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and specify the type of anxiety disorders included |
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in this study . future studies should perform |
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diagnostic interviews with participants ( e.g. , |
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using dsm - v criteria ) rather than relying on |
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self - reported measures to group participants , |
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in order to better understand whether the type of |
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anxiety disorder ( e.g. , social anxiety , phobias |
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, panic disorders , and generalized anxiety ) |
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influences cognitive performance differently in pd |
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. one advantage the hads questionnaire provided |
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over other anxiety scales was that it assessed |
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both anxiety and depression simultaneously and |
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allowed us to control for coexisting depression . |
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although there was a trend that the pda+ group |
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self - reported higher levels of depression than |
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the pda group , all participants included in the |
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study scored < 6 on the depression subscale of the |
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hads . controlling for depression while assessing |
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anxiety has been identified as a key shortcoming |
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in the majority of recent work . considering many |
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previous studies have investigated the influence |
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of depression on cognition in pd without |
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accounting for the presence of anxiety and the |
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inconsistent findings reported to date , we |
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recommend that future research should try to |
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disentangle the influence of anxiety versus |
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depression on cognitive impairments in pd . |
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considering the growing number of clinical trials |
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for treating depression , there are few if any for |
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the treatment of anxiety in pd . anxiety is a key |
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contributor to decreased quality of life in pd and |
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greatly requires better treatment options . |
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moreover , anxiety has been suggested to play a |
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key role in freezing of gait ( fog ) , which is |
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also related to attentional set - shifting [ 52 , |
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53 ] . future research should examine the link |
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between anxiety , set - shifting , and fog , in |
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order to determine whether treating anxiety might |
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be a potential therapy for improving fog .""" |
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import torch |
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from transformers import LongT5ForConditionalGeneration, AutoTokenizer |
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tokenizer = LongT5ForConditionalGeneration.from_pretrained("Stancld/longt5-tglobal-large-16384-pubmed-3k_steps") |
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input_ids = tokenizer(LONG_ARTICLE, return_tensors="pt").input_ids.to("cuda") |
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model = LEDForConditionalGeneration.from_pretrained("Stancld/longt5-tglobal-large-16384-pubmed-3k_steps", return_dict_in_generate=True).to("cuda") |
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sequences = model.generate(input_ids, global_attention_mask=global_attention_mask).sequences |
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summary = tokenizer.batch_decode(sequences) |
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``` |