Create README.md (#5217)
electra_large_discriminator_squad2_512 Question Answering LM
This commit is contained in:
parent
54e9ce785d
commit
7ca6627ec3
|
@ -0,0 +1,58 @@
|
|||
## ELECTRA_large_discriminator language model fine-tuned on SQuAD2.0
|
||||
|
||||
### with the following results:
|
||||
|
||||
```
|
||||
"exact": 87.09677419354838,
|
||||
"f1": 89.98343832723452,
|
||||
"total": 11873,
|
||||
"HasAns_exact": 84.66599190283401,
|
||||
"HasAns_f1": 90.44759839056285,
|
||||
"HasAns_total": 5928,
|
||||
"NoAns_exact": 89.52060555088309,
|
||||
"NoAns_f1": 89.52060555088309,
|
||||
"NoAns_total": 5945,
|
||||
"best_exact": 87.09677419354838,
|
||||
"best_exact_thresh": 0.0,
|
||||
"best_f1": 89.98343832723432,
|
||||
"best_f1_thresh": 0.0
|
||||
```
|
||||
### from script:
|
||||
```
|
||||
python ${EXAMPLES}/run_squad.py \
|
||||
--model_type electra \
|
||||
--model_name_or_path google/electra-large-discriminator \
|
||||
--do_train \
|
||||
--do_eval \
|
||||
--train_file ${SQUAD}/train-v2.0.json \
|
||||
--predict_file ${SQUAD}/dev-v2.0.json \
|
||||
--version_2_with_negative \
|
||||
--do_lower_case \
|
||||
--num_train_epochs 3 \
|
||||
--warmup_steps 306 \
|
||||
--weight_decay 0.01 \
|
||||
--learning_rate 3e-5 \
|
||||
--max_grad_norm 0.5 \
|
||||
--adam_epsilon 1e-6 \
|
||||
--max_seq_length 512 \
|
||||
--doc_stride 128 \
|
||||
--per_gpu_train_batch_size 8 \
|
||||
--gradient_accumulation_steps 16 \
|
||||
--per_gpu_eval_batch_size 128 \
|
||||
--fp16 \
|
||||
--fp16_opt_level O1 \
|
||||
--threads 12 \
|
||||
--logging_steps 50 \
|
||||
--save_steps 1000 \
|
||||
--overwrite_output_dir \
|
||||
--output_dir ${MODEL_PATH}
|
||||
```
|
||||
### using the following system & software:
|
||||
```
|
||||
Transformers: 2.11.0
|
||||
PyTorch: 1.5.0
|
||||
TensorFlow: 2.2.0
|
||||
Python: 3.8.1
|
||||
OS/Platform: Linux-5.3.0-59-generic-x86_64-with-glibc2.10
|
||||
CPU/GPU: Intel i9-9900K / NVIDIA Titan RTX 24GB
|
||||
```
|
Loading…
Reference in New Issue