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monoXLMR.pft-mmarco
crystina-z/monoXLMR.pft-mmarco
monoXLMR.pft-mmarco is a text classification model from crystina-z. Use it when you need a label for a piece of text. It is set up for transformers.
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4.5 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 21, 2023
- Updated
- Apr 21, 2023
- SHA
- 98fc9bdd
Try a prompt
Model card
From the Hugging Face model README
Tevatron reranker
examples/reranker/reranker_train.py \
--output_dir reranker_xlmr.bs-32.epoch-1.mmarco \
--model_name_or_path xlm-roberta-large --save_steps 20000 --dataset_name crystina-z/mmarco-train:all --fp16 --per_device_train_batch_size 4 --gradient_accumulation_steps 8 --train_n_passages 8 --learning_rate 5e-6 --q_max_len 16 --p_max_len 128 --num_train_epochs 1 --logging_steps 500 --dataloader_num_workers 4 --overwrite_output_dir
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Apr 21, 2023
- Updated
- Apr 21, 2023