🔄 Incremental importance | Acc: 0.714, F1: 0.437

README.md

@@ -21,19 +21,19 @@ Fine-tuned FinBERT model for financial importance analysis in TradePulse.
 
 ## Performance
 
-*Last training: 2025-07-26 17:59*  
+*Last training: 2025-07-26 22:58*  
 *Dataset: `news_20250726.csv` (186 samples)*
 
 | Metric | Value |
 |--------|-------|
-| Loss | 1.1184 |
-| Accuracy | 0.7021 |
-| F1 Score | 0.6383 |
+| Loss | 1.2082 |
+| Accuracy | 0.7234 |
+| F1 Score | 0.6714 |
 
-| F1 Macro | 0.6383 |
+| F1 Macro | 0.6714 |
 
-| Precision | 0.6169 |
-| Recall | 0.7021 |
+| Precision | 0.6553 |
+| Recall | 0.7234 |
 
 ## Training Details
 
@@ -65,4 +65,4 @@ predictions = outputs.logits.softmax(dim=-1)
 ## Model Card Authors
 
 - TradePulse ML Team
-- Auto-generated on 2025-07-26 17:59:14
+- Auto-generated on 2025-07-26 22:58:34

checkpoint-70/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a4087bd081287dc33455f8706cdab2450b8a56b2fbbe6d1535ab736e2d2e4d5b
+oid sha256:35aa9807671bc2c57da7df95ce07d9ff091d33e96da672aed78a532b55480a29
 size 439039996

checkpoint-70/trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 0.6383321617775644,
+  "best_metric": 0.6713947990543736,
   "best_model_checkpoint": "hf-importance-production/checkpoint-70",
   "epoch": 2.0,
   "eval_steps": 500,
@@ -10,23 +10,23 @@
   "log_history": [
     {
       "epoch": 0.2857142857142857,
-      "grad_norm": 107.85406494140625,
+      "grad_norm": 47.84209060668945,
       "learning_rate": 2.9411764705882355e-06,
-      "loss": 3.316,
+      "loss": 0.571,
       "step": 10
     },
     {
       "epoch": 0.5714285714285714,
-      "grad_norm": 41.05527877807617,
+      "grad_norm": 44.589599609375,
       "learning_rate": 5.882352941176471e-06,
-      "loss": 2.2774,
+      "loss": 0.4847,
       "step": 20
     },
     {
       "epoch": 0.8571428571428571,
-      "grad_norm": 58.872947692871094,
+      "grad_norm": 0.7730007767677307,
       "learning_rate": 8.823529411764707e-06,
-      "loss": 1.1755,
+      "loss": 0.0557,
       "step": 30
     },
     {
@@ -34,56 +34,56 @@
       "eval_accuracy": 0.6808510638297872,
       "eval_f1": 0.5894736842105264,
       "eval_f1_macro": 0.3163742690058479,
-      "eval_loss": 1.8137695789337158,
+      "eval_loss": 1.638397216796875,
       "eval_precision": 0.5647969052224372,
       "eval_precision_macro": 0.34595959595959597,
       "eval_recall": 0.6808510638297872,
       "eval_recall_macro": 0.3506944444444444,
-      "eval_runtime": 26.1342,
-      "eval_samples_per_second": 1.798,
+      "eval_runtime": 26.1288,
+      "eval_samples_per_second": 1.799,
       "eval_steps_per_second": 0.459,
       "step": 35
     },
     {
       "epoch": 1.1428571428571428,
-      "grad_norm": 62.1671142578125,
+      "grad_norm": 0.6251469254493713,
       "learning_rate": 8.333333333333334e-06,
-      "loss": 2.2904,
+      "loss": 0.3225,
       "step": 40
     },
     {
       "epoch": 1.4285714285714286,
-      "grad_norm": 87.3003921508789,
+      "grad_norm": 70.45618438720703,
       "learning_rate": 5.555555555555557e-06,
-      "loss": 0.7705,
+      "loss": 0.1691,
       "step": 50
     },
     {
       "epoch": 1.7142857142857144,
-      "grad_norm": 58.54560470581055,
+      "grad_norm": 17.483278274536133,
       "learning_rate": 2.7777777777777783e-06,
-      "loss": 0.6563,
+      "loss": 0.1408,
       "step": 60
     },
     {
       "epoch": 2.0,
-      "grad_norm": 4.384439468383789,
+      "grad_norm": 0.18039797246456146,
       "learning_rate": 0.0,
-      "loss": 0.9612,
+      "loss": 0.543,
       "step": 70
     },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.7021276595744681,
-      "eval_f1": 0.6383321617775644,
-      "eval_f1_macro": 0.3615363953800698,
-      "eval_loss": 1.1184031963348389,
-      "eval_precision": 0.6169174883238194,
-      "eval_precision_macro": 0.38536585365853665,
-      "eval_recall": 0.7021276595744681,
-      "eval_recall_macro": 0.37847222222222227,
-      "eval_runtime": 26.1131,
-      "eval_samples_per_second": 1.8,
+      "eval_accuracy": 0.723404255319149,
+      "eval_f1": 0.6713947990543736,
+      "eval_f1_macro": 0.39814814814814814,
+      "eval_loss": 1.2082337141036987,
+      "eval_precision": 0.6553191489361703,
+      "eval_precision_macro": 0.425,
+      "eval_recall": 0.723404255319149,
+      "eval_recall_macro": 0.40625,
+      "eval_runtime": 26.0715,
+      "eval_samples_per_second": 1.803,
       "eval_steps_per_second": 0.46,
       "step": 70
     }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a4087bd081287dc33455f8706cdab2450b8a56b2fbbe6d1535ab736e2d2e4d5b
+oid sha256:35aa9807671bc2c57da7df95ce07d9ff091d33e96da672aed78a532b55480a29
 size 439039996