Training in progress, step 500

config.json

@@ -1,27 +1,30 @@
 {
   "architectures": [
-    "BertForSequenceClassification"
+    "BertHashForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "cell": {},
+  "auto_map": {
+    "AutoConfig": "configuration_bert_hash.BertHashConfig",
+    "AutoModel": "modeling_bert_hash.BertHashModel",
+    "AutoModelForMaskedLM": "modeling_bert_hash.BertHashForMaskedLM",
+    "AutoModelForSequenceClassification": "modeling_bert_hash.BertHashForSequenceClassification"
+  },
   "classifier_dropout": null,
   "dtype": "float32",
-  "emb_size": 312,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 312,
+  "hidden_size": 128,
   "initializer_range": 0.02,
-  "intermediate_size": 1200,
+  "intermediate_size": 512,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 4,
+  "model_type": "bert_hash",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "pre_trained": "",
   "problem_type": "single_label_classification",
-  "structure": [],
+  "projections": 16,
   "transformers_version": "4.57.1",
   "type_vocab_size": 2,
   "use_cache": true,

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