laion
/

rl_r2egym-nl2bash-swesmith-pymethods2test_terminus-structured

Text Generation

reinforcement-learning

r2egym,pymethods2test,swesmith,nl2bash

terminus-structured

text-generation-inference

Model card Files Files and versions

marianna13 commited on 29 days ago

Commit

e527336

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verified ·

1 Parent(s): 6a5990c

Remove apptainer bridge reference from model card

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@@ -30,7 +30,7 @@ Key results:
 - **Base model**: [laion/r2egym-nl2bash-stack-bugsseq-fixthink-again](https://huggingface.co/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again)
 - **Training method**: rloo-n with terminus-structured agent (structured tool calls: bash, view, edit, create, search)
-- **Framework**: BenSkyRL + Harbor (Apptainer Bridge on JUWELS)
 - **Context**: 32k (24k input + 8k output)
 - **Learning rate**: 1e-5

 - **Base model**: [laion/r2egym-nl2bash-stack-bugsseq-fixthink-again](https://huggingface.co/laion/r2egym-nl2bash-stack-bugsseq-fixthink-again)
 - **Training method**: rloo-n with terminus-structured agent (structured tool calls: bash, view, edit, create, search)
+- **Framework**: BenSkyRL + Harbor
 - **Context**: 32k (24k input + 8k output)
 - **Learning rate**: 1e-5