Training in progress, epoch 1

config.json

@@ -1,29 +1,31 @@
 {
-  "_name_or_path": "bert-base-chinese",
+  "_name_or_path": "ckiplab/bert-tiny-chinese",
   "architectures": [
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
   "directionality": "bidi",
+  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
+  "hidden_size": 312,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 1248,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
   "num_attention_heads": 12,
-  "num_hidden_layers": 12,
+  "num_hidden_layers": 4,
   "pad_token_id": 0,
-  "pooler_fc_size": 768,
+  "pooler_fc_size": 312,
   "pooler_num_attention_heads": 12,
   "pooler_num_fc_layers": 3,
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
+  "tokenizer_class": "BertTokenizerFast",
   "torch_dtype": "float32",
   "transformers_version": "4.29.2",
   "type_vocab_size": 2,

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