ilm | Easily fine tune GPT-2 to fill in missing text | Natural Language Processing library
kandi X-RAY | ilm Summary
kandi X-RAY | ilm Summary
This repository houses the code for the ILM framework outlined in the ACL 2020 paper Enabling language models to fill in the blanks (Donahue et al. 2020). This codebase allows you to fine tune GPT-2 to infill, i.e., perform text generation conditioned on both past and future context. For example, you could train GPT-2 to infill proper nouns in news articles, or generate lines of poetry in the middle of the stanza. An interactive webdemo can be found at chrisdonahue.com/ilm.
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Top functions reviewed by kandi - BETA
- Train the model
- Set custom vocabulary
- Convert a mask_cls string to a class
- Get the state of the tokenizer
- Updates the tokenizer
- Get a dataset
- Return a list of ROC stories
- Return a list of abstracts abstracts
- Return a list of custom entries
- Mask a document
- Convert a docstring to hierarchical offsets
- Compute the recursive offsets for a sequence of tokens
- Randomly mask documents in a dataset
- Randomly shuffle a document
- Infills a tensor with an ilm
- Sample from logits
- Return a subclass of mask_cls
ilm Key Features
ilm Examples and Code Snippets
Community Discussions
Trending Discussions on ilm
QUESTION
I understood that the hot-warm(-cold-frozen-deleted) lifecycle is a great tool, but I haven't found much numerical documentation: one of the few documents that gives examples with numbers (and not just feature descriptions) is this blogpost. In the hot-warm example without roll-up, it seems to me that the main storage optimization is given by the number of replicas:
- one day of data = 86.4 GB
- 7 hot days = one day of data * 7 days * 2 replicas = 1.2 TB
- 30-7 warm days = one day of data * 23 days * 1 replica = 1.98 TB
There are other resources like this webinar, yet it doesn't distinguish between storage usage and RAM usage. Is there an official document (or third parties experiment/report) that shows if and how much the cold/frozen/"non-searchable snapshot after deletion" phases optimize the storage usage? Or is only about less RAM usage?
...ANSWER
Answered 2022-Mar-01 at 13:15There can't be a single "benchmark" here since ILM is just a tool that allows tuning your hardware configuration according to your data usage patterns.
For example, suppose you have heavy indexing and heavy searching across all of your data. In that case, you don't want to reduce your replica count for the old data, and the gain would be primarily due to slightly cheaper "warm" SSD storage. So the difference here would be minimal or none at all if the separation overhead compensates that gain.
An opposite example would be storing logs for compliance purposes (lots of writes but minimal reads, and it's primarily last 24 hrs) - then you probably want to move everything beyond a week or so into the "frozen" tier which uses s3 buckets for storage and is very cheap. Also, those shards don't count towards cluster shard count regarding heap usage and stability. In this case, tiered storage might turn out to be orders of magnitude cheaper than a single-tier cluster.
QUESTION
I have created ILM policy with following configuration :
...ANSWER
Answered 2022-Feb-15 at 08:34The problem was with the refresh_interval.
By default, Elasticsearch periodically refreshes indices every second, but only on indices that have received one search request or more in the last 30 seconds.
My indices were not getting search request so couldn't update the indices.
I changed the default setting, I added "refresh_interval":"10s" in my index template which inherited into my newly created index.
Also I changed the _cluster/setting poll interval to 1 minute for testing and it worked!
QUESTION
I think I'm a step off from figuring out how to jq reduce via filter a key to another objects sub-key.
I'm trying to combine files (simplified from Elasticsearch's ILM Explain & ILM Policy API responses):
...ANSWER
Answered 2022-Jan-14 at 18:18This assumes you are trying to combine the .indices object stored in ie1.json with an object within the object stored in ip1.json. As the keys upon to match are different, I further assumed that you want to match the field name from the .indices object, reduced by cutting off everything that comes after the last dash -, to the same key in the object from ip1.json.
To this end, ip1.json is read in from input as $ip (alternatively you can use jq --argfile ip ip1.json for that), then the .indices object is taken from the first input ie1.json and to the inner object accessed via with_entries(.value …) is added the result of a lookup within $ip at the matching and accordingly reduced .key.
QUESTION
I am using AWS Elastic Search (Version 7.10) with Logstash 7.10. The intention is to send the content from logstash to elastic search and rollover the index after the particular size or time using policy.
...ANSWER
Answered 2021-Dec-16 at 05:08Create an index with following REST request in elastic. Since the index name is having date pattern, the rollover will create new index with current date.
QUESTION
I need an index, which continuously gets data loaded into Elasticsearch (7.15) via Logstash, the problem is that over time the index will be full and due performance reasons and sheer size it will be preferable to split the index into smaller ones.
As far as I understand rollover and index lifecycle management are the concepts I need to understand in order to fulfill the requirements.
And I have some question in regards to that
When they talk about index alias and datastream. I haven't been able to find anything about what the difference is exactly. They seems to both cover the case of spanding across multiple smaller indexes. So could anyone elaborate what the difference is
As far I understand I need to create a policy, and a index template, and create a datastream and then upload data. I tried to make a simple policy where it should rollover whenever there are more than 3 documents, but even if do so it create an index but never rolls over after the number of documents have exceeded. If I use a max_age it seems to work
The things I do are following:
...ANSWER
Answered 2021-Nov-09 at 00:31- an alias is a reference to one or more indices and is an underlying concept in Elasticsearch. a datastream uses aliases, and can be looked at as a collection of concepts like aliases, data tiering etc to make things easier to use via automation
- ILM isn't really designed to work with such small thresholds, so it's not surprising it doesn't work. ie by default, ILM will only check for actions every 10 minutes
- time based rollovers are based off the time that the underlying index was created from the policy. so a "quarterly" rollover relative to the calendar isn't possible
QUESTION
We're running Elastic + Fluentbit + Kibana stack on kubernetes for container logs and it was working correctly with daily rollover based on date(new-YYYY-MM-DD) but on high volume it caused over shard size issue so created ILM policy mentioned below so that it can rollover quickly. Bootstrapped index is writable but still the old index of (new-YYYY-MM-DD) is getting written instead of the new index new-YYYY-MM-DD-000001. I have mentioned the things tried but no luck yet.
...ANSWER
Answered 2021-Sep-30 at 15:42In your Fluentbit configuration you need to change the following:
QUESTION
Hello i have 3 node elasticsearch cluster ( source ) and i have snapshot called snapshot-1 which taken from source cluster and i have another 6 node elasticsearch cluster ( destination ) cluster
and when i restore my destinatition cluster from snapshot-1 using this command
...ANSWER
Answered 2021-Sep-03 at 06:27From my experiences the rename pattern doesn't need to be super fancy because you will probably
a) delete the index (as your renaming pattern suggests) or
b) reindex data from the restored index to new indices. In this case the naming of the restored index is insignificant.
So this is what I would suggest:
Use the following renaming pattern to include all indices. Again, from my experience, your first aim is to get the old data restored. After that you have to manage the reindexing etc.
QUESTION
I have an elastic stack on kubernetes (k8s) using ECK.
Kibana version: 7.13.2 Elasticsearch version: 7.13.2 APM Server version: 7.13.2 APM Agent language and version: https://www.npmjs.com/package/@elastic/apm-rum - 5.9.1 Browser version: Chrome latest
Description of the problem
Frontend apm-run agent fails to send messages to apm server. if i disable cors on the browser it works - google-chrome --disable-web-security --user-data-dir=temp then navigate to my frontend http://localhost:4201/
ANSWER
Answered 2021-Aug-18 at 17:05I was running into the same problem. Check your ad blocker. I found that UBlock was blocking requests to */rum/events.
I'm guessing that they consider this as a type of user "tracker" and that's why they're blocked, really no way around it though unless you change the endpoint path I guess.
QUESTION
I wanna delete an index after certain time(say 10s) but it doesn't work. I researched a lot but I couldn't find a different thing from my configs. Here are my configs:
my ILM config:
...ANSWER
Answered 2021-Aug-03 at 17:19I set indices.lifecycle.poll_interval and it works!
QUESTION
I have deployed elastic search and Kibana on my local and I am able to perform stack management operations on the local cluster.
ElasticSearch : elasticsearch-7.11.1-windows-x86_64 Kibana: kibana-7.11.1-windows-x86_64
State ManagementL
Index Life CycleManagement
Now I want to set up an index roll-up job on my AWS Managed ElastciSearch service, but on AWS deployer service on Kibana, these options are missing.
ElasticSearch : 7.4 Kibana: Kibana 7.4.2
Note: ILM has been introduced in version 7.1.2 so its not about version mismatch. Please refer: https://www.elastic.co/guide/en/elasticsearch/reference/current/index-lifecycle-management.html#:~:text=ILM%3A%20Manage%20the%20index%20lifecycleedit,%2C%20resiliency%2C%20and%20retention%20requirements.
As per AWS documentation the steps to set up index rollup is as follows:
Reference: https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/rollup.html
...ANSWER
Answered 2021-Apr-30 at 22:52As per aws doc, you need ES version 7.9 or above to use Index rollups
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Install ilm
git clone git@github.com:chrisdonahue/ilm.git
cd ilm
pip install -r requirements.txt
python -c "import nltk; nltk.download('punkt')"
pip install -e .
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