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: 0.5517
-- Exact Match Accuracy: 0.3175
-- Macro Precision: 0.6677
-- Macro Recall: 0.3737
-- Macro F1: 0.4510
-- Micro Precision: 0.7676
-- Micro Recall: 0.4542
-- Micro F1: 0.5707
-- Hamming Loss: 0.0665
+- Loss: 0.5565
+- Exact Match Accuracy: 0.2430
+- Macro Precision: 0.5046
+- Macro Recall: 0.2169
+- Macro F1: 0.2688
+- Micro Precision: 0.8130
+- Micro Recall: 0.3380
+- Micro F1: 0.4775
+- Hamming Loss: 0.0709
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "epoch": 11.971830985915492,
+    "eval_exact_match_accuracy": 0.24295774647887325,
+    "eval_hamming_loss": 0.07094034797017398,
+    "eval_loss": 0.556472897529602,
+    "eval_macro_f1": 0.26876477651727104,
+    "eval_macro_precision": 0.5045538885499061,
+    "eval_macro_recall": 0.21694654985438297,
+    "eval_micro_f1": 0.4774980930587338,
+    "eval_micro_precision": 0.812987012987013,
+    "eval_micro_recall": 0.33801295896328293,
+    "eval_runtime": 2.8434,
+    "eval_samples_per_second": 199.763,
+    "eval_steps_per_second": 24.97,
     "total_flos": 0.0,
     "train_loss": 0.9307791737949147,
     "train_runtime": 983.1644,

runs/Jun29_19-02-57_45ccd8ae5b94/events.out.tfevents.1751224771.45ccd8ae5b94.1692.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6fcf146e4df05cb577aa018d893059f6ee0827fa9dfedd388c15f60a1ec71e1a
+size 72381

test_results.json

@@ -1,15 +1,15 @@
 {
-    "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
+    "epoch": 11.971830985915492,
+    "eval_exact_match_accuracy": 0.24295774647887325,
+    "eval_hamming_loss": 0.07094034797017398,
+    "eval_loss": 0.556472897529602,
+    "eval_macro_f1": 0.26876477651727104,
+    "eval_macro_precision": 0.5045538885499061,
+    "eval_macro_recall": 0.21694654985438297,
+    "eval_micro_f1": 0.4774980930587338,
+    "eval_micro_precision": 0.812987012987013,
+    "eval_micro_recall": 0.33801295896328293,
+    "eval_runtime": 2.8434,
+    "eval_samples_per_second": 199.763,
+    "eval_steps_per_second": 24.97
 }