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hivaze
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AAQG-QA-QG-FRED-T5-1.7B

Text2Text Generation
Transformers
Safetensors
Russian
t5
text-generation-inference
Inference Endpoints
Model card Files Community
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Update README.md

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@@ -84,4 +84,7 @@ generate_text(QG_PROMPT.format(context=test_context), n=1)
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  | 1000 | 1.050200 | 0.998357 | 43.035900 | 66.376800 | 0.105100 | 0.034100 | 0.105200 |
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  | 1500 | 0.994000 | 0.966051 | 43.692200 | 66.597600 | 0.106300 | 0.034400 | 0.106400 |
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  | 2000 | 0.947800 | 0.953637 | 44.012400 | 66.711100 | 0.106600 | 0.034900 | 0.106800 |
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- | 2500 | 0.978200 | 0.944621 | 44.027900 | 66.657400 | 0.106500 | 0.034600 | 0.106500 |
 
 
 
 
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  | 1000 | 1.050200 | 0.998357 | 43.035900 | 66.376800 | 0.105100 | 0.034100 | 0.105200 |
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  | 1500 | 0.994000 | 0.966051 | 43.692200 | 66.597600 | 0.106300 | 0.034400 | 0.106400 |
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  | 2000 | 0.947800 | 0.953637 | 44.012400 | 66.711100 | 0.106600 | 0.034900 | 0.106800 |
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+ | 2500 | 0.978200 | 0.944621 | 44.027900 | 66.657400 | 0.106500 | 0.034600 | 0.106500 |
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+
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+ ## Authors
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+ - Sergei Bratchikov (https://t.me/nlpwanderer)