add critical parameters for DA model
"iterator": {
"type": "bucket",
"sorting_keys": [["premise", "num_tokens"], ["hypothesis", "num_tokens"]],
- "batch_size": 32
+ "batch_size": 64
},
"trainer": {
"num_epochs": 140,
"patience": 20,
"cuda_device": 0,
+ "grad_clipping": 5.0,
"validation_metric": "+accuracy",
"no_tqdm": true,
"optimizer": {
