Contrastive Reranker/Reward model #9171
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Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <adithya.r@gmail.com>
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nemo/collections/nlp/models/information_retrieval/megatron_gpt_reranker_model.py
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examples/nlp/information_retrieval/megatron_gpt_reranker_finetuning.py
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Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <adithya.r@gmail.com>
Signed-off-by: arendu <arendu@users.noreply.github.com>
cuichenx
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May 13, 2024
examples/nlp/information_retrieval/megatron_gpt_reranker_finetuning.py
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nemo/collections/nlp/models/information_retrieval/megatron_gpt_reranker_model.py
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nemo/collections/nlp/models/information_retrieval/megatron_gpt_reranker_model.py
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Signed-off-by: arendu <arendu@users.noreply.github.com>
Signed-off-by: arendu <arendu@users.noreply.github.com>
cuichenx
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May 14, 2024
examples/nlp/information_retrieval/conf/megatron_gpt_embedder_tuning_config.yaml
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Signed-off-by: arendu <adithya.r@gmail.com>
cuichenx
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What does this PR do ?
enables training of a contrastive reranker model based on GPT architecture and PEFT. Used for reranking the results of an embedding model.
Collection: [NLP]
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