Update config.json

config.json

@@ -0,0 +1,61 @@
+{
+  "acc_batch_size": 48,
+  "adam_betas": "0.9,0.999",
+  "architectures": [
+    "TransformerForNLI"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "clip": 1.0,
+  "cls": "linear",
+  "dir": "data/snli_1.0/",
+  "dropout": 0.1,
+  "enc": "transformer",
+  "eos_token_id": 2,
+  "epochs": 5,
+  "freeze_transformer": 0,
+  "gpuid": 0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label_dict": "data/snli_1.0/snli.label.dict",
+  "label_map_inv": {
+    "0": "entailment",
+    "1": "neutral",
+    "2": "contradiction"
+  },
+  "labels": [
+    "entailment",
+    "neutral",
+    "contradiction"
+  ],
+  "layer_norm_eps": 1e-05,
+  "learning_rate": 3e-05,
+  "load_file": "",
+  "loss": "multiclass",
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_label": 3,
+  "optim": "adamw_fp16",
+  "pad_token_id": 1,
+  "param_init_type": "xavier_normal",
+  "percent": 1.0,
+  "print_every": 500,
+  "save_file": "./models/robertabase_snli",
+  "seed": 1,
+  "train_data": "data/snli_1.0/snli.train.hdf5",
+  "train_res": "",
+  "transformer_type": "roberta-base",
+  "type_vocab_size": 1,
+  "val_data": "data/snli_1.0/snli.val.hdf5",
+  "val_res": "",
+  "vocab_size": 50265,
+  "warmup": "constant",
+  "warmup_perc": 0.1,
+  "weight_decay": 0.01
+}