transformers pytorch t5 text2text-generation autotrain_compatible text-generation-inference endpoints_compatible region:us
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# QCPG++
```
Dataset: ParaBank2.0 
Learning Rate: 1e-4
```

## Text Diversity Metrics 
```
Semantic Similarity: DocumentSemanticDiversity
Syntactic Diversity: DependencyDiversity
Lexical Diversity: Character-level edit distance 
Phonological Diversity: RhythmicDiversity
Morphological Diversity: POSSequenceDiversity.
```

## Results
```
Training Loss: 0.4351
Dev Loss: 1.0986
Dev BLEU: 34.3115
```
