🔄 Incremental label | Acc: 0.882, F1: 0.847

README.md

@@ -20,17 +20,17 @@ Fine-tuned FinBERT model for financial sentiment analysis in TradePulse.
 
 ## Performance
 
-*Last training: 2025-07-21 09:09*  
-*Dataset: `news_20250721.csv` (177 samples)*
+*Last training: 2025-07-23 11:08*  
+*Dataset: `news_20250723.csv` (144 samples)*
 
 | Metric | Value |
 |--------|-------|
-| Loss | 0.7441 |
-| Accuracy | 0.8222 |
-| F1 Score | 0.8223 |
-| F1 Macro | 0.8223 |
-| Precision | 0.8432 |
-| Recall | 0.8222 |
+| Loss | 0.9366 |
+| Accuracy | 0.6389 |
+| F1 Score | 0.6202 |
+| F1 Macro | 0.6202 |
+| Precision | 0.6204 |
+| Recall | 0.6389 |
 
 ## Training Details
 
@@ -59,4 +59,4 @@ predictions = outputs.logits.softmax(dim=-1)
 ## Model Card Authors
 
 - TradePulse ML Team
-- Auto-generated on 2025-07-21 09:09:16
+- Auto-generated on 2025-07-23 11:08:20

{checkpoint-66 → checkpoint-54}/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7230a8152985198b6e5e09fbcb992b41f8d41d2463d4293e20e7a86c5525555c
+oid sha256:290dece3c30dbb9712dd36d74b5f5c7255848f4aeed844a2c8db3073db41a0d7
 size 439039996

{checkpoint-66 → checkpoint-54}/trainer_state.json

@@ -1,88 +1,81 @@
 {
-  "best_metric": 0.8222895622895622,
-  "best_model_checkpoint": "hf-sentiment-production/checkpoint-66",
+  "best_metric": 0.6201754385964912,
+  "best_model_checkpoint": "hf-sentiment-production/checkpoint-54",
   "epoch": 2.0,
   "eval_steps": 500,
-  "global_step": 66,
+  "global_step": 54,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.30303030303030304,
-      "grad_norm": 58.59674072265625,
-      "learning_rate": 3.0303030303030305e-06,
-      "loss": 1.0621,
+      "epoch": 0.37037037037037035,
+      "grad_norm": 38.498687744140625,
+      "learning_rate": 3.7037037037037037e-06,
+      "loss": 0.9607,
       "step": 10
     },
     {
-      "epoch": 0.6060606060606061,
-      "grad_norm": 26.400432586669922,
-      "learning_rate": 6.060606060606061e-06,
-      "loss": 0.8608,
+      "epoch": 0.7407407407407407,
+      "grad_norm": 22.442626953125,
+      "learning_rate": 7.4074074074074075e-06,
+      "loss": 1.1276,
       "step": 20
     },
     {
-      "epoch": 0.9090909090909091,
-      "grad_norm": 44.112937927246094,
-      "learning_rate": 9.090909090909091e-06,
-      "loss": 1.0074,
-      "step": 30
+      "epoch": 1.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_f1": 0.551656314699793,
+      "eval_f1_macro": 0.5635610766045548,
+      "eval_loss": 0.8553796410560608,
+      "eval_precision": 0.5486812570145904,
+      "eval_precision_macro": 0.5630110630110631,
+      "eval_recall": 0.5555555555555556,
+      "eval_recall_macro": 0.5648926237161532,
+      "eval_runtime": 20.0221,
+      "eval_samples_per_second": 1.798,
+      "eval_steps_per_second": 0.45,
+      "step": 27
     },
     {
-      "epoch": 1.0,
-      "eval_accuracy": 0.7333333333333333,
-      "eval_f1": 0.732098124098124,
-      "eval_f1_macro": 0.7363924963924964,
-      "eval_loss": 0.7799020409584045,
-      "eval_precision": 0.7394179894179893,
-      "eval_precision_macro": 0.7261904761904762,
-      "eval_recall": 0.7333333333333333,
-      "eval_recall_macro": 0.7589495850365416,
-      "eval_runtime": 24.995,
-      "eval_samples_per_second": 1.8,
-      "eval_steps_per_second": 0.48,
-      "step": 33
+      "epoch": 1.1111111111111112,
+      "grad_norm": 27.929914474487305,
+      "learning_rate": 8.888888888888888e-06,
+      "loss": 0.8638,
+      "step": 30
     },
     {
-      "epoch": 1.2121212121212122,
-      "grad_norm": 57.80762481689453,
-      "learning_rate": 7.87878787878788e-06,
-      "loss": 0.789,
+      "epoch": 1.4814814814814814,
+      "grad_norm": 20.848979949951172,
+      "learning_rate": 5.185185185185185e-06,
+      "loss": 0.5173,
       "step": 40
     },
     {
-      "epoch": 1.5151515151515151,
-      "grad_norm": 22.032854080200195,
-      "learning_rate": 4.848484848484849e-06,
-      "loss": 0.6725,
+      "epoch": 1.8518518518518519,
+      "grad_norm": 29.46346664428711,
+      "learning_rate": 1.4814814814814815e-06,
+      "loss": 0.7011,
       "step": 50
     },
-    {
-      "epoch": 1.8181818181818183,
-      "grad_norm": 4.845839977264404,
-      "learning_rate": 1.8181818181818183e-06,
-      "loss": 0.4489,
-      "step": 60
-    },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.8222222222222222,
-      "eval_f1": 0.8222895622895622,
-      "eval_f1_macro": 0.8171717171717172,
-      "eval_loss": 0.7441494464874268,
-      "eval_precision": 0.8432323232323233,
-      "eval_precision_macro": 0.8424242424242424,
-      "eval_recall": 0.8222222222222222,
-      "eval_recall_macro": 0.8169205995292952,
-      "eval_runtime": 24.9519,
-      "eval_samples_per_second": 1.803,
-      "eval_steps_per_second": 0.481,
-      "step": 66
+      "eval_accuracy": 0.6388888888888888,
+      "eval_f1": 0.6201754385964912,
+      "eval_f1_macro": 0.6170426065162907,
+      "eval_loss": 0.9366019368171692,
+      "eval_precision": 0.6203703703703703,
+      "eval_precision_macro": 0.626984126984127,
+      "eval_recall": 0.6388888888888888,
+      "eval_recall_macro": 0.6237161531279178,
+      "eval_runtime": 19.994,
+      "eval_samples_per_second": 1.801,
+      "eval_steps_per_second": 0.45,
+      "step": 54
     }
   ],
   "logging_steps": 10,
-  "max_steps": 66,
+  "max_steps": 54,
   "num_input_tokens_seen": 0,
   "num_train_epochs": 2,
   "save_steps": 500,
@@ -107,7 +100,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 69461942280192.0,
+  "total_flos": 56832498229248.0,
   "train_batch_size": 4,
   "trial_name": null,
   "trial_params": null

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7230a8152985198b6e5e09fbcb992b41f8d41d2463d4293e20e7a86c5525555c
+oid sha256:290dece3c30dbb9712dd36d74b5f5c7255848f4aeed844a2c8db3073db41a0d7
 size 439039996

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:799383ded4fc17c3c1d9d808fcd3bb8bca8bf49782cb0ef2ca6a990d48a3b959
+oid sha256:bed310ee88943731c474b9142a5c909ef20e3cf9839f55b35adefa9b094357fa
 size 5521