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I converted a llama model to nemo, with model dirs like below:
![image](https://github.com/NVIDIA/NeMo-Aligner/assets/6756880/2d36915a-a0ab-4c1a-8d20-0960a7948bdc)
When I tried to load it to train a…
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you claim"If you prefer avoiding external paid APIs, we suggest using HuggingFace’s models (e.g. flan_t5_xl) as described in more detail in the [Supported models](https://github.com/nebuly-ai/nebull…
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In the last few days I've been playing around trying to see how fast I can get a 19M model training on a single 4090. My somewhat arbitrary goal is 1 hour, down from about 24 hours (just on `humanoid-…
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Original Author: jandersonlee
Original Link: https://getsatisfaction.com/eternagame/topics/-strategy-market-switch-energy-model-agnostic
Reward designs that fold similarly in both energy models in ea…
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It says:
"We first sample
several models from the trained policy π(m, θ). For
each sampled model, we compute its reward on a single
minibatch sampled from the validation set. We then take
only t…
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[2023-04-14 13:11:27,879] [INFO] [launch.py:428:sigkill_handler] Killing subprocess 13266
[2023-04-14 13:11:27,885] [ERROR] [launch.py:434:sigkill_handler] ['/usr/bin/python3', '-u', 'main.py', '--lo…
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### Description
According to "Anomaly scoring is based on overlapping segments: a true positive (TP) if a known anomalous window overlaps any detected windows, a false negative (FN) if a known anomal…
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# 1.3 Elements of Reinforcement Learning
- *Policy*
- A policy defines the learning agent’s way of behaving at a given time.
- Roughly speaking, a policy is a mapping from perceived states of…
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### 🐛 Describe the bug
Hi, I'm trying to use `ilql` training on custom data with `flan-t5-large` and `flan-t5-xl` models to fine-tune them using RLHF and `gpt-j-6B` as a reward model.
1. I have …
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# Description
Currently we are supporting the following datasets:
- [Stanford Human Preferences Dataset (SHP)](https://huggingface.co/datasets/stanfordnlp/SHP)
- [Anthropic RLHF](https://huggingf…