This is a finetunes version of keshan/sinhala-gpt2 with newswire articles. This was finetuned on ~12MB of data
- Num examples=8395
- Batch size =8

It got a Perplexity of 3.15
{"language": "si", "tags": ["sinhala", "gpt2"], "pipeline_tag": "text-generation", "widget": [{"text": "\u0db8\u0db8"}]}
transformers pytorch gpt2 text-generation sinhala si autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #sinhala #si #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

This is a finetunes version of keshan/sinhala-gpt2 with newswire articles. This was finetuned on ~12MB of data
- Num examples=8395
- Batch size =8

It got a Perplexity of 3.15
TAGS
#transformers #pytorch #gpt2 #text-generation #sinhala #si #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #gpt2 #text-generation #sinhala #si #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
