Upload AlbertForTokenClassification

config.json

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+{
+  "_name_or_path": "experiments/llm-based/albert-base-v2_15",
+  "architectures": [
+    "AlbertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-Event",
+    "2": "I-Event",
+    "3": "E-Event",
+    "4": "S-Event",
+    "5": "B-NonEvent",
+    "6": "I-NonEvent",
+    "7": "E-NonEvent",
+    "8": "S-NonEvent"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Event": 1,
+    "B-NonEvent": 5,
+    "E-Event": 3,
+    "E-NonEvent": 7,
+    "I-Event": 2,
+    "I-NonEvent": 6,
+    "O": 0,
+    "S-Event": 4,
+    "S-NonEvent": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cfff4b374cc8be8c3642cd7a52fd7a86e579d0140d2a83be289dd3027542dd65
+size 44412415