Downloads · 30 days
15
3% of all-time downloads
monoXLMR.pft-msmarco
crystina-z/monoXLMR.pft-msmarco
monoXLMR.pft-msmarco 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.
All-time downloads
553
Public
Repo size
4.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023
- SHA
- 44ad6104
Try a prompt
Datasets
Model card
From the Hugging Face model README
Trained with Tevatron reranker branch;
script:
epoch=3
bs=32
gradient_accumulation_steps=8
real_bs=$(( $bs / $gradient_accumulation_steps ))
CUDA_VISIBLE_DEVICES=0 python examples/reranker/reranker_train.py \
--output_dir reranker_xlmr.bs-$bs.epoch-$epoch \
--model_name_or_path xlm-roberta-large \
--save_steps 20000 \
--dataset_name Tevatron/msmarco-passage \
--fp16 \
--per_device_train_batch_size $real_bs \
--gradient_accumulation_steps $gradient_accumulation_steps \
--train_n_passages 8 \
--learning_rate 5e-6 \
--q_max_len 16 \
--p_max_len 128 \
--num_train_epochs $epoch \
--logging_steps 500 \
--dataloader_num_workers 4 \
--overwrite_output_dir
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023