🔄 Incremental label | Acc: 0.643, F1: 0.536

README.md

@@ -21,18 +21,18 @@ Fine-tuned FinBERT model for financial sentiment analysis in TradePulse.
 
 ## Performance
 
-*Last training: 2025-07-25 07:24*  
+*Last training: 2025-07-25 08:19*  
 *Dataset: `news_20250725.csv` (125 samples)*
 
 | Metric | Value |
 |--------|-------|
-| Loss | 1.3260 |
+| Loss | 1.4195 |
 | Accuracy | 0.6250 |
-| F1 Score | 0.6317 |
+| F1 Score | 0.6219 |
 
-| F1 Macro | 0.6317 |
+| F1 Macro | 0.6219 |
 
-| Precision | 0.6463 |
+| Precision | 0.6214 |
 | Recall | 0.6250 |
 
 ## Training Details
@@ -65,4 +65,4 @@ predictions = outputs.logits.softmax(dim=-1)
 ## Model Card Authors
 
 - TradePulse ML Team
-- Auto-generated on 2025-07-25 07:24:30
+- Auto-generated on 2025-07-25 08:19:55

checkpoint-48/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d4952d6b4b9814d14f29d9ca019548404163651b87414ff32de1a516c8d79aa
+oid sha256:856c7f092374e05283e430b3fba8b0817151af7ccec29a38834996655f6941fc
 size 439039996

checkpoint-48/trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 0.6316964285714286,
+  "best_metric": 0.6219444444444444,
   "best_model_checkpoint": "hf-sentiment-production/checkpoint-48",
   "epoch": 2.0,
   "eval_steps": 500,
@@ -10,60 +10,60 @@
   "log_history": [
     {
       "epoch": 0.4166666666666667,
-      "grad_norm": 0.010952883400022984,
+      "grad_norm": 0.0013227742165327072,
       "learning_rate": 4.347826086956522e-06,
-      "loss": 0.0005,
+      "loss": 0.0,
       "step": 10
     },
     {
       "epoch": 0.8333333333333334,
-      "grad_norm": 0.007685099728405476,
+      "grad_norm": 0.001942786737345159,
       "learning_rate": 8.695652173913044e-06,
-      "loss": 0.0059,
+      "loss": 0.0,
       "step": 20
     },
     {
       "epoch": 1.0,
-      "eval_accuracy": 0.59375,
-      "eval_f1": 0.5980769230769231,
-      "eval_f1_macro": 0.597948717948718,
-      "eval_loss": 1.426525592803955,
-      "eval_precision": 0.640625,
-      "eval_precision_macro": 0.6,
-      "eval_recall": 0.59375,
-      "eval_recall_macro": 0.6388888888888888,
-      "eval_runtime": 17.6803,
-      "eval_samples_per_second": 1.81,
-      "eval_steps_per_second": 0.452,
+      "eval_accuracy": 0.5625,
+      "eval_f1": 0.5649703557312253,
+      "eval_f1_macro": 0.5173473869126043,
+      "eval_loss": 1.433448076248169,
+      "eval_precision": 0.5691287878787878,
+      "eval_precision_macro": 0.5151515151515151,
+      "eval_recall": 0.5625,
+      "eval_recall_macro": 0.5222222222222223,
+      "eval_runtime": 17.7668,
+      "eval_samples_per_second": 1.801,
+      "eval_steps_per_second": 0.45,
       "step": 24
     },
     {
       "epoch": 1.25,
-      "grad_norm": 0.22668954730033875,
+      "grad_norm": 0.013785353861749172,
       "learning_rate": 7.2000000000000005e-06,
-      "loss": 0.0009,
+      "loss": 0.0,
       "step": 30
     },
     {
       "epoch": 1.6666666666666665,
-      "grad_norm": 0.1356627196073532,
+      "grad_norm": 0.06546497344970703,
       "learning_rate": 3.2000000000000003e-06,
-      "loss": 0.0019,
+      "loss": 0.0001,
       "step": 40
     },
     {
       "epoch": 2.0,
       "eval_accuracy": 0.625,
-      "eval_f1": 0.6316964285714286,
-      "eval_f1_macro": 0.5992063492063493,
-      "eval_loss": 1.3260107040405273,
-      "eval_precision": 0.6462912087912087,
-      "eval_precision_macro": 0.5937118437118437,
+      "eval_f1": 0.6219444444444444,
+      "eval_f1_macro": 0.5837037037037036,
+      "eval_loss": 1.4194550514221191,
+      "eval_precision": 0.6213942307692308,
+      "eval_precision_macro": 0.594017094017094,
       "eval_recall": 0.625,
-      "eval_recall_macro": 0.6166666666666667,
-      "eval_runtime": 17.6916,
-      "eval_samples_per_second": 1.809,
-      "eval_steps_per_second": 0.452,
+      "eval_recall_macro": 0.5777777777777778,
+      "eval_runtime": 17.7464,
+      "eval_samples_per_second": 1.803,
+      "eval_steps_per_second": 0.451,
       "step": 48
     }
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d4952d6b4b9814d14f29d9ca019548404163651b87414ff32de1a516c8d79aa
+oid sha256:856c7f092374e05283e430b3fba8b0817151af7ccec29a38834996655f6941fc
 size 439039996