Ktrapeznikov

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Average Model Cost: $0.0000

Number of Runs: 6,614

Models by this creator

albert-xlarge-v2-squad-v2

albert-xlarge-v2-squad-v2

ktrapeznikov

The albert-xlarge-v2-squad-v2 model is an ALBERT (A Lite BERT) model that has been fine-tuned on the SQuAD (Stanford Question Answering Dataset) V2 using the run_squad.py script. It has been trained on four Nvidia GeForce RTX 2080 Ti 11GB GPUs. The model can be used to answer questions based on a given paragraph and is capable of scoring if a paragraph contains an answer. The model's performance on the dev set has been evaluated, but no sweep has been done to find the best threshold. More details about the model can be found in the Hugging Face documentation.

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5.5K

Huggingface

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