Around a quarter of a million examples generated from Flan-UL2 (20b) with the prompt "Write a complex short story using the vocabulary of a third-grader." to be used in an experimental curriculum learning setting. I had to checkpoint every 1024 examples to mitigate the program slowing down due to memory usage. This was run in bf16 on an RTXA6000 with the following settings:

```
top_k = random between (40, 128)
temperature = random between (0.6, 0.95)
max_length = 128
batch_size = 32
```

I wanted a less uniform boring set with the same exact patterns so I randomly modulate the temperature and top_k values to get a good mix. This cost ~$6 usd to create on runpod.
language:en license:mit region:us
{"language": ["en"], "license": "mit"}
TAGS
#language-English #license-mit #region-us 

Around a quarter of a million examples generated from Flan-UL2 (20b) with the prompt "Write a complex short story using the vocabulary of a third-grader." to be used in an experimental curriculum learning setting. I had to checkpoint every 1024 examples to mitigate the program slowing down due to memory usage. This was run in bf16 on an RTXA6000 with the following settings:



I wanted a less uniform boring set with the same exact patterns so I randomly modulate the temperature and top_k values to get a good mix. This cost ~$6 usd to create on runpod.
TAGS
#language-English #license-mit #region-us 

passage: TAGS
#language-English #license-mit #region-us 
