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: 0.5578
-- Exact Match Accuracy: 0.3915
-- Macro Precision: 0.5289
-- Macro Recall: 0.4494
-- Macro F1: 0.4709
-- Micro Precision: 0.6806
-- Micro Recall: 0.6125
-- Micro F1: 0.6447
-- Hamming Loss: 0.0588
+- Loss: 0.6489
+- Exact Match Accuracy: 0.3333
+- Macro Precision: 0.4434
+- Macro Recall: 0.3293
+- Macro F1: 0.3679
+- Micro Precision: 0.7076
+- Micro Recall: 0.5171
+- Micro F1: 0.5975
+- Hamming Loss: 0.0604
 
 ## Model description
 

all_results.json

@@ -1,5 +1,17 @@
 {
     "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,
     "total_flos": 0.0,
     "train_loss": 0.5525670264850964,
     "train_runtime": 1513.1485,

runs/Jun22_17-39-24_4829ceaae8d0/events.out.tfevents.1750615484.4829ceaae8d0.2552.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9873fb96ae360b7555ae064077d397b7882a0dc7dab20a6188178d1f88d5b0a0
+size 49197

test_results.json

@@ -1,15 +1,15 @@
 {
-    "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
+    "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
 }