KennethEnevoldsen/dfm-sentence-encoder-large

Trained using SimCSE with:

CUDA_VISIBLE_DEVICES=0 python train.py \
    --train_file data/dfm_paragraphs.txt \
    --model_name_or_path chcaa/dfm-encoder-large-v1 \
    --output_dir result/dfm-sentence-encoder-medium-v4 \
    --num_train_epochs 1 \
    --per_device_train_batch_size 128 \
    --learning_rate 1e-5 \
    --max_seq_length 32 \
    --evaluation_strategy steps \
    --metric_for_best_model stsb_spearman \
    --load_best_model_at_end \
    --pooler_type cls \
    --mlp_only_train \
    --do_mlm \
    --overwrite_output_dir \
    --temp 0.05 \
    --do_train \
    --fp16