set BASE_MODEL=yikuan8/Clinical-Longformer
set OUTPUT_DIR=U:\Documents...

python run_qa.py ^
  --model_name_or_path %BASE_MODEL% ^
  --dataset_name squad_v2 ^
  --do_train ^
  --do_eval ^
  --version_2_with_negative ^
  --per_device_train_batch_size 4 ^
  --per_device_eval_batch_size 4 ^
  --gradient_accumulation_steps 4 ^
  --learning_rate 2e-5 ^
  --num_train_epochs 3 ^
  --max_seq_length 320 ^
  --doc_stride 128 ^
  --weight_decay 0.01 ^
  --fp16 ^
  --output_dir %OUTPUT_DIR% ^
  --overwrite_output_dir

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.0.1+cu117
Datasets 3.0.1
Tokenizers 0.21.0

trevorkwan/clinical_longformer_squadv2

clinical_longformer_squadv2_maxlen320

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

trevorkwan/
clinical_longformer_squadv2