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: 0.5491
-- Exact Match Accuracy: 0.36
-- Macro Precision: 0.5561
-- Macro Recall: 0.4035
-- Macro F1: 0.4602
-- Micro Precision: 0.7328
-- Micro Recall: 0.5586
-- Micro F1: 0.6340
-- Hamming Loss: 0.0635
+- Loss: 0.6170
+- Exact Match Accuracy: 0.3289
+- Macro Precision: 0.5583
+- Macro Recall: 0.3863
+- Macro F1: 0.4454
+- Micro Precision: 0.6898
+- Micro Recall: 0.5159
+- Micro F1: 0.5903
+- Hamming Loss: 0.0680
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "epoch": 19.771863117870723,
+    "eval_exact_match_accuracy": 0.3288973384030418,
+    "eval_hamming_loss": 0.06799373741892194,
+    "eval_loss": 0.6169729232788086,
+    "eval_macro_f1": 0.44535521278875434,
+    "eval_macro_precision": 0.5583113433330144,
+    "eval_macro_recall": 0.3863444464808141,
+    "eval_micro_f1": 0.5902964959568733,
+    "eval_micro_precision": 0.6897637795275591,
+    "eval_micro_recall": 0.5159010600706714,
+    "eval_runtime": 2.6047,
+    "eval_samples_per_second": 201.94,
+    "eval_steps_per_second": 25.338,
     "total_flos": 0.0,
     "train_loss": 0.7332356544641349,
     "train_runtime": 1473.3753,

runs/Jun28_21-18-35_821879c92305/events.out.tfevents.1751146997.821879c92305.4121.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df48729bd44fa48a06eca4ca9c53c5bf781fca6edc26b436ea13e66093abbd44
+size 67341

test_results.json

@@ -1,15 +1,15 @@
 {
-    "epoch": 9.166666666666666,
-    "eval_exact_match_accuracy": 0.32708333333333334,
-    "eval_hamming_loss": 0.06348039215686274,
-    "eval_loss": 0.5625751614570618,
-    "eval_macro_f1": 0.2665328063937161,
-    "eval_macro_precision": 0.5031965769308523,
-    "eval_macro_recall": 0.2266199986153601,
-    "eval_micro_f1": 0.5676126878130217,
-    "eval_micro_precision": 0.7744874715261959,
-    "eval_micro_recall": 0.4479578392621871,
-    "eval_runtime": 2.4538,
-    "eval_samples_per_second": 195.613,
-    "eval_steps_per_second": 24.452
+    "epoch": 19.771863117870723,
+    "eval_exact_match_accuracy": 0.3288973384030418,
+    "eval_hamming_loss": 0.06799373741892194,
+    "eval_loss": 0.6169729232788086,
+    "eval_macro_f1": 0.44535521278875434,
+    "eval_macro_precision": 0.5583113433330144,
+    "eval_macro_recall": 0.3863444464808141,
+    "eval_micro_f1": 0.5902964959568733,
+    "eval_micro_precision": 0.6897637795275591,
+    "eval_micro_recall": 0.5159010600706714,
+    "eval_runtime": 2.6047,
+    "eval_samples_per_second": 201.94,
+    "eval_steps_per_second": 25.338
 }