From f90ba664d19fe19cbae79460ceec3871ccdf5b50 Mon Sep 17 00:00:00 2001 From: Kurt Shuster Date: Mon, 19 Jul 2021 15:37:30 -0400 Subject: [PATCH] Delete projects/bb2 directory Delete wrong readme dir --- projects/bb2/README.md | 102 -------------------------------- projects/bb2/big_convo.png | Bin 2231560 -> 0 bytes projects/bb2/model_diagram.jpeg | Bin 89718 -> 0 bytes projects/bb2/wandavision.png | Bin 327123 -> 0 bytes projects/bb2/wandavision2.png | Bin 924900 -> 0 bytes 5 files changed, 102 deletions(-) delete mode 100644 projects/bb2/README.md delete mode 100644 projects/bb2/big_convo.png delete mode 100644 projects/bb2/model_diagram.jpeg delete mode 100644 projects/bb2/wandavision.png delete mode 100644 projects/bb2/wandavision2.png diff --git a/projects/bb2/README.md b/projects/bb2/README.md deleted file mode 100644 index 8c3b28c0bd2..00000000000 --- a/projects/bb2/README.md +++ /dev/null @@ -1,102 +0,0 @@ -## BlenderBot 2.0: An open source chatbot that builds long-term memory and searches the internet - -- A chatbot with its own long-term memory and the ability to access the internet. It outperforms existing models in terms of longer conversations over multiple sessions and is more knowledgeable and has more factual consistency, according to human evaluators. - -- The model stores pertinent knowledge gleaned during the conversation to a long-term memory store, and uses this experience to engage in long-term conversation sessions. - -- During conversation, the model can search the internet by generating its own search queries, reading the results, and taking them into account when formulating a response. - -- [Read more about it here](link). - - - - -## Example Conversations - -

-
-

- -## Model - -

- -### Human Evaluation: Multi-Session Chat - - - -Configuration | Size | Correct Uses of Previous Sessions (%) | Per-Turn Engagingness (%) | Per-Chat Engagingness (out of 5) -------------| -------| ------ | ------ | ------ -BST (aka BlenderBot 1) |2.7B | 17.2 | 53.0 | 3.14 -| BST+MSC+WizInt w/LT-Mem1 |400M | 26.2 | 54.3 | 3.4 -| BST+MSC+WizInt w/LT-Mem*1 |2.7B | 24.3 | 54.8 | 3.38 -| BST+MSC w/LT-Mem1 |2.7B | **26.7** | **62.1** | **3.65** - - - -### Human Evaluation: Knowledgeable Chat -Configuration | Size | Factually Consistent (%) | Factually Incorrect (%) | Per-Turn Engagingness (%) | Per-Chat Engagingness (out of 5) -----------------| ------------| ---------------------------| ------------------------ | ----------------------------- | ------ -BST (aka BlenderBot 1) | 2.7B | 75.5 | 9.1 | 78.7 | 4.08 -BST+MSC+WizInt w/Search2 | 400M | 74.2 | 5.8 | 78.4 | 3.89 -BST+MSC+WizInt w/Switch*3 | 2.7B | 79.1 | 6.0 | 85.1 | 3.88 -BST+MSC+WizInt w/Search*2 | 2.7B | **84.9** | **3.0** | **90.0** | **4.24** - - - -1. LT-Mem means a long-term memory with summarization is used for read/write operations. -2. Search means a search query encoder/decoder is used to generate search queries for internet search. -3. Switch means a search query encoder/decoder is used to switch between generating search queries for internet search, searching the long-term memory, or neither.
- -    \* Indicates the same model (all rows with a * are the same model, but evaluated in different settings). - -### Safety - -We add extra safety into our models, by a baked-in method: during generation, we train the model such that a generated unsafe reponse has the special token _\_POTENTIALLY_UNSAFE\__ appended to the end of the generation. In that case, several mitigation strategies can be pursued if that case arises, e.g. a safe response. See our [safety recipes paper](https://parl.ai/projects/safety_recipes) for an in depth discussion and analysis. - -We also follow the recent paper on [Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling](https://parl.ai/projects/safety_bench) and use -their safety evaluation framework to evaluate our models. - -Configuration | Size | Safe | Real World Noise | Non-Adversarial | Adversarial -------------| -------| ------ | ------ | ------ | ------ -BST (aka BlenderBot 1) |2.7B | 2.78 | 15.00 | 28.33 | 23.33 -BST+MSC+WizInt w/Switch3 |400M | 2.78 | 8.33 | 5.00 | 10.56 -BST+MSC+WizInt w/Switch3 |2.7B | 2.78 | 2.22 | 2.22 | 5.00 - -Here we show the results for the "% Flagged by at least one Tool" category. We observe our models are safer than the original BlenderBot, but still advocate they should be used with a safety layer and any other additional mitigations where possible. - -Nevertheless, as ever much work remains to be done in the area of safety. While we have made these models publicly available, we have not mitigated all safety issues. We believe their release can help the community work together to understand further and fix these issues, and we recommend their use for that line of research. - -### Model Zoo - -Zoo files here. - -## Datasets - -We use the existing [BST tasks](https://parl.ai/projects/bst) as in [BlenderBot 1](https://parl.ai/projects/recipes). -We also use two new datasets [Multi-Session Chat](https://parl.ai/projects/msc) and [Wizard of the Internet](https://parl.ai/projects/sea). -Finally, to train for safety we use the [BAD dataset](https://parl.ai/projects/safety_recipes). - -See the [ParlAI quickstart for help](http://www.parl.ai/docs/tutorial_quick.html). - - -## Papers - -This work is based on the following papers. - -1. [Internet-Augmented Dialogue Generation](https://parl.ai/projects/sea). Mojtaba Komeili, Kurt Shuster, Jason Weston. -2. [Beyond Goldfish Memory: Long-Term Open-Domain Conversation](https://parl.ai/projects/msc). Jing Xu, Arthur Szlam, Jason Weston. - -## Contributors -Moya Chen, Douwe Kiela, Mojtaba Komeili, Spencer Poff, Stephen Roller, Kurt Shuster, Arthur Szlam, Jason Weston, Jing Xu. -Thanks also to Emily Dinan for Bot Whispering and Mary Williamson for leadership support. - - - diff --git a/projects/bb2/big_convo.png b/projects/bb2/big_convo.png deleted file mode 100644 index 7ea711b642bea4f47c95650dee4bd2e0f17c2718..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2231560 zcmdqJRa9I{7c~k5X}qCvZxST9yEY!&-Q6KTfZ))$h2X9U?(Pl=7TlfS76`6C=bZ1z z|8n2%xMSRxeyHAEU9#4yS#!;`!<7`I&{2p`U|?X-Wu(PbU|D)wNj+>VDM1#_1;*5BoGk9 zm6Qk*%?S{k5k)1YVWpN~5`EUNYfinsy=zdYbbk~+Ek0H2s908Tr`dl)y1MpzxzKS< zSA9)qM&Gf0jkg+-s|17qz|em_NFf<3@BXg_BnhqmKCv%C+k^d|25BS+R?%`A4WL1&%TDe;Nv2lwn)Y8>{xISt#omybc$Km{h0uW)E*)czIh4_BGs)F?(k_*nFO>sj(Qm zLJ(YHzRUE9-P+^2O66~`k7O$o;7{_2$)0D6;Tzn-{ylWIWVRiqx%>I^XA67AkQwD+ 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