🔄 Incremental correlations - Dataset petit

README.md

@@ -21,12 +21,12 @@ Fine-tuned FinBERT model for financial correlations analysis in TradePulse.
 
 ## Performance
 
-*Last training: 2025-07-29 07:33*  
+*Last training: 2025-07-29 08:06*  
 *Dataset: `news_20250729.csv` (31 samples)*
 
 | Metric | Value |
 |--------|-------|
-| Loss | 0.1693 |
+| Loss | 0.1651 |
 | Subset Accuracy | 1.0000 |
 | F1 Score | 1.0000 |
 | F1 Micro | 1.0000 |
@@ -65,4 +65,4 @@ predictions = torch.sigmoid(outputs.logits).squeeze() > 0.5
 ## Model Card Authors
 
 - TradePulse ML Team
-- Auto-generated on 2025-07-29 07:33:47
+- Auto-generated on 2025-07-29 08:06:39

checkpoint-6/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ad3ed4c2520775a778f0ab780595043d5ad6d9342cb24dcc6353f278958f30d
+oid sha256:3cf71673d05e4cb5b46ac94e198bb03dc9767d7ab711e2dea9fd10bdf21beff9
 size 439415268

checkpoint-6/trainer_state.json

@@ -16,16 +16,16 @@
       "eval_f1_micro": 1.0,
       "eval_hamming_loss": 0.0,
       "eval_hamming_score": 1.0,
-      "eval_loss": 0.16930259764194489,
+      "eval_loss": 0.16511599719524384,
       "eval_precision": 1.0,
       "eval_precision_macro": 0.024,
       "eval_precision_micro": 1.0,
       "eval_recall": 1.0,
       "eval_recall_macro": 0.024,
       "eval_recall_micro": 1.0,
-      "eval_runtime": 3.9705,
-      "eval_samples_per_second": 1.763,
-      "eval_steps_per_second": 0.504,
+      "eval_runtime": 3.9382,
+      "eval_samples_per_second": 1.777,
+      "eval_steps_per_second": 0.508,
       "eval_subset_accuracy": 1.0,
       "step": 6
     }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ad3ed4c2520775a778f0ab780595043d5ad6d9342cb24dcc6353f278958f30d
+oid sha256:3cf71673d05e4cb5b46ac94e198bb03dc9767d7ab711e2dea9fd10bdf21beff9
 size 439415268