Training in progress, step 30

config.json

@@ -1,28 +1,23 @@
 {
   "architectures": [
-    "BertForTokenClassification"
+    "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
   "directionality": "bidi",
+  "dtype": "float32",
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "B-CLASS",
-    "1": "B-SUP",
-    "2": "I-CLASS",
-    "3": "I-SUP",
-    "4": "O"
+    "0": "\u8001\u4eba\u5065\u4fdd\u88dc\u52a9",
+    "1": "\u91cd\u967d\u79ae\u91d1"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "B-CLASS": 0,
-    "B-SUP": 1,
-    "I-CLASS": 2,
-    "I-SUP": 3,
-    "O": 4
+    "\u8001\u4eba\u5065\u4fdd\u88dc\u52a9": 0,
+    "\u91cd\u967d\u79ae\u91d1": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -36,8 +31,8 @@
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.51.3",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.3",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 21128

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:b33564274b6a98f46c070acf890ed783533461d63f1212d1c63b06fccfc83cf3
-size 406746908
+oid sha256:5b86c06a0da00f5f50f9059dc9c0b9c93896109e6f33a9fe86f6d60757fa6811
+size 409100240

tokenizer.json

@@ -2,13 +2,13 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 128,
+    "max_length": 512,
     "strategy": "LongestFirst",
     "stride": 0
   },
   "padding": {
     "strategy": {
-      "Fixed": 128
+      "Fixed": 512
     },
     "direction": "Right",
     "pad_to_multiple_of": null,

training_args.bin

@@ -1,3 +1,3 @@
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-size 5304
+oid sha256:79271b4ab200834f3f75873a16c83755ff5cc406b2a7e0d00ed0dec995b6737c
+size 5841