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: 0.5828
-- Exact Match Accuracy: 0.3125
-- Macro Precision: 0.4952
-- Macro Recall: 0.2084
-- Macro F1: 0.2634
-- Micro Precision: 0.7850
-- Micro Recall: 0.4019
-- Micro F1: 0.5316
-- Hamming Loss: 0.0654
+- Loss: 0.5626
+- Exact Match Accuracy: 0.3271
+- Macro Precision: 0.5032
+- Macro Recall: 0.2266
+- Macro F1: 0.2665
+- Micro Precision: 0.7745
+- Micro Recall: 0.4480
+- Micro F1: 0.5676
+- Hamming Loss: 0.0635
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "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,
     "total_flos": 0.0,
     "train_loss": 1.0184532798420298,
     "train_runtime": 630.3061,

runs/Jun28_00-36-34_900796fa89ac/events.out.tfevents.1751071648.900796fa89ac.4307.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08d7cc802a57f911212787839dd2a371d7e8a525cc2cc19c2795eaed34c3d9bd
+size 61293

test_results.json

@@ -1,15 +1,15 @@
 {
-    "epoch": 29.1005291005291,
-    "eval_exact_match_accuracy": 0.3333333333333333,
-    "eval_hamming_loss": 0.060379707438530966,
-    "eval_loss": 0.6488757133483887,
-    "eval_macro_f1": 0.3679335617794199,
-    "eval_macro_precision": 0.4434330733828582,
-    "eval_macro_recall": 0.32926281066899926,
-    "eval_micro_f1": 0.5975103734439834,
-    "eval_micro_precision": 0.7076167076167076,
-    "eval_micro_recall": 0.5170556552962298,
-    "eval_runtime": 1.8674,
-    "eval_samples_per_second": 202.423,
-    "eval_steps_per_second": 25.705
+    "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
 }