model

config.json

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+{
+  "architectures": [
+    "AlbertForTokenRationale"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "confusion_weight": 1.0,
+  "continuity_weight": 0,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "fix_pretrained_classifier": true,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "mask_token_id": 4,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "nei_index": 2,
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "pretrained_classifier_path": "/data/rsg/nlp/tals/fakenews/vit_c/VitaminC-data/baselines/results/vitc_fever_wnei",
+  "sparsity_weight": 0.2,
+  "supervised_weight": 1.0,
+  "top_k": -1,
+  "total_flos": 5743660154880000,
+  "type_vocab_size": 2,
+  "unsupervised_weight": 0.3,
+  "use_pretrained_classifier": true,
+  "vocab_size": 30000
+}

pytorch_model.bin

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+oid sha256:7c0027e8f3064caa87015050484f701acf6df6c4ef5c00bda2371af2657a0883
+size 93517287

special_tokens_map.json

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+{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}

spiece.model

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+oid sha256:fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
+size 760289

tokenizer_config.json

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+{"model_max_length": 512}