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config.json

@@ -1,49 +1,29 @@
 {
-  "_name_or_path": "indobenchmark/indobert-lite-base-p1",
-  "_num_labels": 5,
+  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
   "architectures": [
-    "AlbertModel"
+    "BertModel"
   ],
-  "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,
+  "attention_probs_dropout_prob": 0.1,
+  "cell": {},
+  "classifier_dropout": null,
+  "emb_size": 312,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0,
-  "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4"
-  },
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
   "initializer_range": 0.02,
-  "inner_group_num": 1,
-  "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4
-  },
+  "intermediate_size": 1200,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "albert",
-  "net_structure_type": 0,
+  "model_type": "bert",
   "num_attention_heads": 12,
-  "num_hidden_groups": 1,
-  "num_hidden_layers": 12,
-  "num_memory_blocks": 0,
-  "output_past": true,
+  "num_hidden_layers": 4,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "pre_trained": "",
+  "structure": [],
   "torch_dtype": "float32",
   "transformers_version": "4.36.2",
   "type_vocab_size": 2,
-  "vocab_size": 30000
+  "use_cache": true,
+  "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d15eac02d5376c5ea56e297b660e5c74b2977103838642bf9edb4683d789ecf8
-size 46737416
+oid sha256:85d7b1a87fb8e08aacf611cc176c3a13cc25ad806574401d51a11b33e6674f6a
+size 57408776