Training in progress, epoch 1

config.json

@@ -1,41 +1,33 @@
 {
   "architectures": [
-    "MobileBertForSequenceClassification"
+    "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "classifier_activation": false,
   "classifier_dropout": null,
-  "embedding_size": 128,
-  "hidden_act": "relu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 512,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
   "id2label": {
-    "LABEL_0": "negative",
-    "LABEL_1": "positive"
+    "0": "negative",
+    "1": "positive"
   },
   "initializer_range": 0.02,
   "intermediate_size": 512,
-  "intra_bottleneck_size": 128,
-  "key_query_shared_bottleneck": true,
   "label2id": {
     "negative": 0,
     "positive": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "mobilebert",
-  "normalization_type": "no_norm",
-  "num_attention_heads": 4,
-  "num_feedforward_networks": 4,
-  "num_hidden_layers": 24,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
   "pad_token_id": 0,
+  "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.51.3",
-  "trigram_input": true,
-  "true_hidden_size": 128,
   "type_vocab_size": 2,
-  "use_bottleneck": true,
-  "use_bottleneck_attention": false,
+  "use_cache": true,
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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+size 17549312

training_args.bin

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 size 5304