Training in progress, step 100

config.json

@@ -1,13 +1,14 @@
 {
-  "_name_or_path": "distilbert/distilbert-base-uncased",
-  "activation": "gelu",
+  "_name_or_path": "google-bert/bert-base-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,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
     "0": "d",
     "1": "y",
@@ -45,6 +46,7 @@
     "33": "positive_perception"
   },
   "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "accumulated wealth": 6,
     "business": 22,
@@ -81,14 +83,13 @@
     "unearned wealth": 24,
     "y": 1
   },
+  "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 6,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 0,
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
+  "position_embedding_type": "absolute",
   "task_specific_params": {
     "classifier_config": {
       "multi_class": [
@@ -266,8 +267,9 @@
       ]
     }
   },
-  "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.48.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 267931008
+oid sha256:1a7191bce521f38961c8889cabb98d5a80367c3805dc63a77d7e6f8ed2c0f3f3
+size 438057080

tokenizer_config.json

@@ -52,6 +52,6 @@
   "sep_token": "[SEP]",
   "strip_accents": null,
   "tokenize_chinese_chars": true,
-  "tokenizer_class": "DistilBertTokenizer",
+  "tokenizer_class": "BertTokenizer",
   "unk_token": "[UNK]"
 }

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:b3b7906345c5485ac0efbe7f1ff99a75652593b8e03b37ee543f70f50f4ca653
 size 5368