End of training

README.md

@@ -16,15 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [maximuspowers/bert-philosophy-adapted](https://huggingface.co/maximuspowers/bert-philosophy-adapted) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6590
-- Exact Match Accuracy: 0.3168
-- Macro Precision: 0.3602
-- Macro Recall: 0.2255
-- Macro F1: 0.2702
-- Micro Precision: 0.7752
-- Micro Recall: 0.4311
-- Micro F1: 0.5541
-- Hamming Loss: 0.0611
+- Loss: 0.5530
+- Exact Match Accuracy: 0.3954
+- Macro Precision: 0.4867
+- Macro Recall: 0.2821
+- Macro F1: 0.3390
+- Micro Precision: 0.8051
+- Micro Recall: 0.4948
+- Micro F1: 0.6129
+- Hamming Loss: 0.0537
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "epoch": 21.212927756653993,
+    "eval_exact_match_accuracy": 0.39543726235741444,
+    "eval_hamming_loss": 0.05367926638335943,
+    "eval_loss": 0.5529536008834839,
+    "eval_macro_f1": 0.3389521243273359,
+    "eval_macro_precision": 0.48673324944951246,
+    "eval_macro_recall": 0.2821097027243954,
+    "eval_micro_f1": 0.6129032258064516,
+    "eval_micro_precision": 0.8050847457627118,
+    "eval_micro_recall": 0.4947916666666667,
+    "eval_runtime": 1.31,
+    "eval_samples_per_second": 200.761,
+    "eval_steps_per_second": 25.191,
     "total_flos": 0.0,
     "train_loss": 0.746017804827009,
     "train_runtime": 760.1424,

runs/Jun22_00-43-19_d35e772e7516/events.out.tfevents.1750553792.d35e772e7516.1185.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b970899b523f0c7238277772f93883aed12fcd590c8138b6bb2d13bdc5e595b
+size 34077

test_results.json

@@ -1,15 +1,15 @@
 {
-    "epoch": 27.273764258555133,
-    "eval_exact_match_accuracy": 0.41825095057034223,
-    "eval_hamming_loss": 0.05457392082308209,
-    "eval_loss": 0.5984852313995361,
-    "eval_macro_f1": 0.38341302923814835,
-    "eval_macro_precision": 0.45383243040806065,
-    "eval_macro_recall": 0.3429726955977066,
-    "eval_micro_f1": 0.6379821958456974,
-    "eval_micro_precision": 0.7413793103448276,
-    "eval_micro_recall": 0.5598958333333334,
-    "eval_runtime": 1.3136,
-    "eval_samples_per_second": 200.212,
-    "eval_steps_per_second": 25.122
+    "epoch": 21.212927756653993,
+    "eval_exact_match_accuracy": 0.39543726235741444,
+    "eval_hamming_loss": 0.05367926638335943,
+    "eval_loss": 0.5529536008834839,
+    "eval_macro_f1": 0.3389521243273359,
+    "eval_macro_precision": 0.48673324944951246,
+    "eval_macro_recall": 0.2821097027243954,
+    "eval_micro_f1": 0.6129032258064516,
+    "eval_micro_precision": 0.8050847457627118,
+    "eval_micro_recall": 0.4947916666666667,
+    "eval_runtime": 1.31,
+    "eval_samples_per_second": 200.761,
+    "eval_steps_per_second": 25.191
 }