Upload BertForSequenceClassification

config.json

@@ -1,36 +1,36 @@
 {
-  "_name_or_path": "distilbert/distilbert-base-german-cased",
-  "activation": "gelu",
+  "_name_or_path": "dbmdz/bert-base-german-uncased",
   "architectures": [
-    "DistilBertForSequenceClassification"
+    "BertForSequenceClassification"
   ],
-  "attention_dropout": 0.1,
-  "dim": 768,
-  "dropout": 0.1,
-  "hidden_dim": 3072,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
     "2": "LABEL_2"
   },
   "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2
   },
+  "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 6,
-  "output_past": true,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 0,
+  "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": true,
-  "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.40.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
   "vocab_size": 31102
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d326e768c2d3e73edcb00d8619b154f76d7f37e6a821c94d5b591692dc86e4b
-size 269617404
+oid sha256:a7c8604936788edd8a3b71e6714f1fbc4d53bcdaf1747ab36824bcee609989da
+size 439743484