Used scraped data as input, ChatGPT result as output and limited types of instruction to fine-tune flan-t5-base.
Used declare-lab repo. Refer to https://github.com/declare-lab/flan-alpaca
Epoch set to 1
Input token max 512
Output token max 512
Trained on Free Google Colab T4
Training time ~ 40 mins
{"license": "bsd", "pipeline_tag": "text2text-generation"}
transformers pytorch t5 text2text-generation license:bsd autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #license-bsd #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

Used scraped data as input, ChatGPT result as output and limited types of instruction to fine-tune flan-t5-base.
Used declare-lab repo. Refer to URL
Epoch set to 1
Input token max 512
Output token max 512
Trained on Free Google Colab T4
Training time ~ 40 mins
TAGS
#transformers #pytorch #t5 #text2text-generation #license-bsd #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

TAGS
#transformers #pytorch #t5 #text2text-generation #license-bsd #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
