Views
No views yet
{
"eval_accuracy": 0.8788530230522156,
"eval_loss": 0.7843484878540039,
"eval_runtime": 39.7009,
"eval_samples": 1395,
"eval_samples_per_second": 35.138,
"eval_steps_per_second": 1.108
}{
"eval_accuracy": 0.8607594966888428,
"eval_loss": 0.879707932472229,
"eval_runtime": 27.4404,
"eval_samples": 1395,
"eval_samples_per_second": 51.821,
"eval_steps_per_second": 1.64
}"id2label": {
"0": "entailment",
"1": "neutral",
"2": "contradiction"
},1root=/path/to/mednli/;
2python mednli.py \
3 --model_name_or_path michiyasunaga/BioLinkBERT-large \
4 --do_train --train_file ${root}/mli_train_v1.jsonl \
5 --do_eval --validation_file ${root}/mli_dev_v1.jsonl \
6 --do_predict --test_file ${root}/mli_test_v1.jsonl \
7 --max_seq_length 512 --fp16 --per_device_train_batch_size 16 --gradient_accumulation_steps 2 \
8 --learning_rate 3e-5 --warmup_ratio 0.5 --num_train_epochs 10 \
9 --output_dir ./biolinkbert_mednli