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: 0.5317
-- Exact Match Accuracy: 0.3793
-- Macro Precision: 0.3860
-- Macro Recall: 0.2534
-- Macro F1: 0.2900
-- Micro Precision: 0.7953
-- Micro Recall: 0.5025
-- Micro F1: 0.6159
-- Hamming Loss: 0.0511
+- Loss: 0.5651
+- Exact Match Accuracy: 0.3931
+- Macro Precision: 0.3152
+- Macro Recall: 0.2381
+- Macro F1: 0.2489
+- Micro Precision: 0.7917
+- Micro Recall: 0.4703
+- Micro F1: 0.5901
+- Hamming Loss: 0.0535
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "epoch": 24.662068965517243,
+    "eval_exact_match_accuracy": 0.3931034482758621,
+    "eval_hamming_loss": 0.05354969574036511,
+    "eval_loss": 0.565125048160553,
+    "eval_macro_f1": 0.24889861157994672,
+    "eval_macro_precision": 0.3151783530460001,
+    "eval_macro_recall": 0.2381291916416587,
+    "eval_micro_f1": 0.5900621118012422,
+    "eval_micro_precision": 0.7916666666666666,
+    "eval_micro_recall": 0.47029702970297027,
+    "eval_runtime": 0.7539,
+    "eval_samples_per_second": 192.34,
+    "eval_steps_per_second": 25.203,
     "total_flos": 0.0,
     "train_loss": 0.811522379981147,
     "train_runtime": 483.752,

runs/Jun16_16-31-08_3eb3419cb417/events.out.tfevents.1750091987.3eb3419cb417.1588.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4aa63371d5aed45b52938b0d32955de5c612e78420c6f55f3d24a89a06a58113
+size 19965

test_results.json

@@ -1,15 +1,15 @@
 {
-    "epoch": 25.423728813559322,
-    "eval_exact_match_accuracy": 0.3644067796610169,
-    "eval_hamming_loss": 0.054835493519441676,
-    "eval_loss": 0.5794392228126526,
-    "eval_macro_f1": 0.25224180581323435,
-    "eval_macro_precision": 0.3426470588235294,
-    "eval_macro_recall": 0.2253973559120618,
-    "eval_micro_f1": 0.5736434108527132,
-    "eval_micro_precision": 0.7474747474747475,
-    "eval_micro_recall": 0.46540880503144655,
-    "eval_runtime": 0.5885,
-    "eval_samples_per_second": 200.516,
-    "eval_steps_per_second": 25.489
+    "epoch": 24.662068965517243,
+    "eval_exact_match_accuracy": 0.3931034482758621,
+    "eval_hamming_loss": 0.05354969574036511,
+    "eval_loss": 0.565125048160553,
+    "eval_macro_f1": 0.24889861157994672,
+    "eval_macro_precision": 0.3151783530460001,
+    "eval_macro_recall": 0.2381291916416587,
+    "eval_micro_f1": 0.5900621118012422,
+    "eval_micro_precision": 0.7916666666666666,
+    "eval_micro_recall": 0.47029702970297027,
+    "eval_runtime": 0.7539,
+    "eval_samples_per_second": 192.34,
+    "eval_steps_per_second": 25.203
 }