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netuid1-wikipedia-search

Text2Text Generation

Trained with AutoTrain

Inference Endpoints

text-generation-inference

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Model Trained Using AutoTrain

Problem type: Seq2Seq

Validation Metrics

loss: 0.51416015625

rouge1: 87.4319

rouge2: 76.4229

rougeL: 86.4987

rougeLsum: 86.5222

gen_len: 9.8561

runtime: 59.6984

samples_per_second: 25.378

steps_per_second: 0.402

: 6.0

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Safetensors

Model size

223M params

Tensor type

FP16

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