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evaluation_results_notebook.json

@@ -1,46 +1,46 @@
 {
     "total_samples": 13877,
-    "accuracy": 0.8366361605534337,
-    "macro_precision": 0.7991458439963597,
-    "macro_recall": 0.8202124559283169,
-    "macro_f1": 0.8079903233813205,
-    "average_loss": 1.0951139475907463,
+    "accuracy": 0.8509043741442675,
+    "macro_precision": 0.8192254366193239,
+    "macro_recall": 0.8151287416913957,
+    "macro_f1": 0.8171262560991883,
+    "average_loss": 0.8716882247996837,
     "classification_report": {
         "label_0": {
-            "precision": 0.9066139544823165,
-            "recall": 0.8589795505162988,
-            "f1-score": 0.8821541820450174,
+            "precision": 0.8919000301114123,
+            "recall": 0.8995748127151245,
+            "f1-score": 0.8957209818053525,
             "support": 9878.0
         },
         "label_1": {
-            "precision": 0.6916777335104028,
-            "recall": 0.781445361340335,
-            "f1-score": 0.7338264647176236,
+            "precision": 0.7465508431272355,
+            "recall": 0.7306826706676669,
+            "f1-score": 0.7385315303930241,
             "support": 3999.0
         },
-        "accuracy": 0.8366361605534337,
+        "accuracy": 0.8509043741442675,
         "macro avg": {
-            "precision": 0.7991458439963597,
-            "recall": 0.8202124559283169,
-            "f1-score": 0.8079903233813205,
+            "precision": 0.8192254366193239,
+            "recall": 0.8151287416913957,
+            "f1-score": 0.8171262560991883,
             "support": 13877.0
         },
         "weighted avg": {
-            "precision": 0.8446747783155164,
-            "recall": 0.8366361605534337,
-            "f1-score": 0.8394098899363305,
+            "precision": 0.8500140750238774,
+            "recall": 0.8509043741442675,
+            "f1-score": 0.8504229623344365,
             "support": 13877.0
         }
     },
     "confusion_matrix": [
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-            1393
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+            992
         ],
         [
-            874,
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+            1077,
+            2922
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     ],
-    "evaluation_duration_seconds": 601.2647964954376
+    "evaluation_duration_seconds": 1649.3387715816498
 }

model.safetensors

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+oid sha256:d90ead9a5840ac3a56c2e33b5c471377187ecf2d166f57ea676b8a770b496454
 size 1340622760

optimizer.pt

@@ -1,3 +1,3 @@
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-size 2681480237
+oid sha256:672b9970ac6e4347a4a88e73c4549d12033090d32674454c9d8e7bb7a4e4950f
+size 2681486142

special_tokens_map.json

@@ -1,7 +1,37 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

test_metrics.json

@@ -1,9 +1,9 @@
 {
-  "accuracy": 0.9129205120571598,
-  "macro_precision": 0.9052220320834325,
-  "macro_recall": 0.8766231236407768,
-  "macro_f1": 0.8893040191206835,
-  "average_loss": 0.5746491376413663,
-  "train_loss_sample_weighted": 0.07019188567586254,
-  "classification_report_str": "              precision    recall  f1-score   support\n\n     label_0       0.92      0.96      0.94      4806\n     label_1       0.89      0.79      0.84      1912\n\n    accuracy                           0.91      6718\n   macro avg       0.91      0.88      0.89      6718\nweighted avg       0.91      0.91      0.91      6718\n"
+  "accuracy": 0.9027984519202144,
+  "macro_precision": 0.9027819613727487,
+  "macro_recall": 0.8531717892731714,
+  "macro_f1": 0.8732653319167776,
+  "average_loss": 0.5711841108131575,
+  "train_loss_sample_weighted": 0.050289344094762996,
+  "classification_report_str": "              precision    recall  f1-score   support\n\n     label_0       0.90      0.97      0.93      4806\n     label_1       0.90      0.74      0.81      1912\n\n    accuracy                           0.90      6718\n   macro avg       0.90      0.85      0.87      6718\nweighted avg       0.90      0.90      0.90      6718\n"
 }

tokenizer_config.json

@@ -47,12 +47,19 @@
   "do_lower_case": true,
   "extra_special_tokens": {},
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 1000000000000000019884624838656,
   "never_split": null,
+  "pad_to_multiple_of": null,
   "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "[SEP]",
+  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }