Training in progress, epoch 1

config.json

@@ -1,19 +1,21 @@
 {
-  "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
+  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
   "architectures": [
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
+  "cell": {},
   "classifier_dropout": null,
+  "emb_size": 312,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 128,
+  "hidden_size": 312,
   "id2label": {
     "0": "not_equivalent",
     "1": "equivalent"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 512,
+  "intermediate_size": 1200,
   "label2id": {
     "equivalent": "1",
     "not_equivalent": "0"
@@ -21,11 +23,13 @@
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 2,
-  "num_hidden_layers": 2,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 4,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "pre_trained": "",
   "problem_type": "single_label_classification",
+  "structure": [],
   "torch_dtype": "float32",
   "transformers_version": "4.20.1",
   "type_vocab_size": 2,

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