Training in progress, epoch 1

config.json

@@ -1,33 +1,29 @@
 {
-  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
+  "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
   "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": 312,
+  "hidden_size": 128,
   "id2label": {
     "0": "LABEL_0"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 1200,
+  "intermediate_size": 512,
   "label2id": {
     "LABEL_0": 0
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 4,
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "pre_trained": "",
   "problem_type": "regression",
-  "structure": [],
   "torch_dtype": "float32",
   "transformers_version": "4.20.1",
   "type_vocab_size": 2,

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tokenizer_config.json

@@ -1,13 +1,12 @@
 {
   "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "name_or_path": "sentence-transformers/stsb-bert-base",
-  "never_split": null,
+  "model_max_length": 512,
+  "name_or_path": "bert-base-uncased",
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
-  "special_tokens_map_file": "old_models/stsb-bert-base/0_BERT/special_tokens_map.json",
+  "special_tokens_map_file": null,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",