🔄 Incremental importance | Acc: 0.792, F1: 0.553

README.md

@@ -20,17 +20,17 @@ Fine-tuned FinBERT model for financial importance analysis in TradePulse.
 
 ## Performance
 
-*Last training: 2025-07-15 15:12*  
-*Dataset: `news_20250715.csv` (49 samples)*
+*Last training: 2025-07-15 17:52*  
+*Dataset: `news_20250715.csv` (216 samples)*
 
 | Metric | Value |
 |--------|-------|
-| Loss | 0.2046 |
-| Accuracy | 1.0000 |
-| F1 Score | 1.0000 |
-| F1 Macro | 1.0000 |
-| Precision | 1.0000 |
-| Recall | 1.0000 |
+| Loss | 1.4242 |
+| Accuracy | 0.6852 |
+| F1 Score | 0.6888 |
+| F1 Macro | 0.6888 |
+| Precision | 0.7004 |
+| Recall | 0.6852 |
 
 ## Training Details
 
@@ -59,4 +59,4 @@ predictions = outputs.logits.softmax(dim=-1)
 ## Model Card Authors
 
 - TradePulse ML Team
-- Auto-generated on 2025-07-15 15:12:13
+- Auto-generated on 2025-07-15 17:52:16

{checkpoint-12 → checkpoint-41}/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20a0fc5cbc871ade77be5a200f4f24ee92776a5853c85516ec1857bb605c2b84
+oid sha256:315cf58b1cef80eef3b6e98bd703e436cd827927d9fcd248585fc2f24fc94eed
 size 439039996

{checkpoint-12 → checkpoint-41}/trainer_state.json

@@ -1,38 +1,59 @@
 {
-  "best_metric": 1.0,
-  "best_model_checkpoint": "hf-importance-production/checkpoint-12",
+  "best_metric": 0.688819117390546,
+  "best_model_checkpoint": "hf-importance-production/checkpoint-41",
   "epoch": 1.0,
   "eval_steps": 500,
-  "global_step": 12,
+  "global_step": 41,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.8333333333333334,
-      "grad_norm": 95.82266998291016,
-      "learning_rate": 8.333333333333334e-06,
-      "loss": 0.6633,
+      "epoch": 0.24390243902439024,
+      "grad_norm": 75.56404113769531,
+      "learning_rate": 2.5e-06,
+      "loss": 2.0902,
       "step": 10
     },
+    {
+      "epoch": 0.4878048780487805,
+      "grad_norm": 90.21524810791016,
+      "learning_rate": 5e-06,
+      "loss": 3.4077,
+      "step": 20
+    },
+    {
+      "epoch": 0.7317073170731707,
+      "grad_norm": 0.015283666551113129,
+      "learning_rate": 7.500000000000001e-06,
+      "loss": 1.283,
+      "step": 30
+    },
+    {
+      "epoch": 0.975609756097561,
+      "grad_norm": 15.399311065673828,
+      "learning_rate": 1e-05,
+      "loss": 0.8953,
+      "step": 40
+    },
     {
       "epoch": 1.0,
-      "eval_accuracy": 1.0,
-      "eval_f1": 1.0,
-      "eval_f1_macro": 1.0,
-      "eval_loss": 0.20457565784454346,
-      "eval_precision": 1.0,
-      "eval_precision_macro": 1.0,
-      "eval_recall": 1.0,
-      "eval_recall_macro": 1.0,
-      "eval_runtime": 0.6002,
-      "eval_samples_per_second": 1.666,
-      "eval_steps_per_second": 1.666,
-      "step": 12
+      "eval_accuracy": 0.6851851851851852,
+      "eval_f1": 0.688819117390546,
+      "eval_f1_macro": 0.651753008895866,
+      "eval_loss": 1.4242143630981445,
+      "eval_precision": 0.7003798670465337,
+      "eval_precision_macro": 0.6356837606837606,
+      "eval_recall": 0.6851851851851852,
+      "eval_recall_macro": 0.6802967563837129,
+      "eval_runtime": 30.1991,
+      "eval_samples_per_second": 1.788,
+      "eval_steps_per_second": 0.464,
+      "step": 41
     }
   ],
   "logging_steps": 10,
-  "max_steps": 24,
+  "max_steps": 82,
   "num_input_tokens_seen": 0,
   "num_train_epochs": 2,
   "save_steps": 500,
@@ -57,7 +78,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 12629444050944.0,
+  "total_flos": 42624373671936.0,
   "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 sha256:20a0fc5cbc871ade77be5a200f4f24ee92776a5853c85516ec1857bb605c2b84
+oid sha256:315cf58b1cef80eef3b6e98bd703e436cd827927d9fcd248585fc2f24fc94eed
 size 439039996

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f33aecfc0c34e2165650f021afc9b4f8e6eff55ec7fdd9180d37e644b7455d4b
+oid sha256:2f15beae061f900df55a72593a0d6e94a0aa87b4abafd58adf1bf7ac2a4b64f9
 size 5521