🔄 Incremental importance | Acc: 0.786, F1: 0.775
Browse files- README.md +3 -3
- checkpoint-24/model.safetensors +1 -1
- checkpoint-24/trainer_state.json +6 -6
- model.safetensors +1 -1
README.md
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@@ -21,12 +21,12 @@ Fine-tuned FinBERT model for financial importance analysis in TradePulse.
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## Performance
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*Last training: 2025-07-25
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*Dataset: `news_20250725.csv` (125 samples)*
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| Metric | Value |
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|--------|-------|
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| Loss | 1.
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| Accuracy | 0.7500 |
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| F1 Score | 0.7520 |
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## Model Card Authors
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- TradePulse ML Team
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- Auto-generated on 2025-07-25
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## Performance
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*Last training: 2025-07-25 12:07*
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*Dataset: `news_20250725.csv` (125 samples)*
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| Metric | Value |
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|--------|-------|
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| Loss | 1.9167 |
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| Accuracy | 0.7500 |
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| F1 Score | 0.7520 |
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## Model Card Authors
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- TradePulse ML Team
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- Auto-generated on 2025-07-25 12:07:55
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checkpoint-24/model.safetensors
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size 439039996
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checkpoint-24/trainer_state.json
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"log_history": [
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{
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"epoch": 0.4166666666666667,
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"grad_norm": 1.
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"learning_rate": 4.347826086956522e-06,
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"learning_rate": 8.695652173913044e-06,
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"loss": 0.0,
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"step": 20
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"eval_accuracy": 0.75,
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"eval_f1": 0.7519509476031214,
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"eval_f1_macro": 0.5053883314752879,
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"eval_loss": 1.
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"eval_precision": 0.7554824561403508,
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"eval_precision_macro": 0.5029239766081871,
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"eval_recall": 0.75,
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"eval_recall_macro": 0.5090909090909091,
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"eval_runtime": 17.
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"eval_samples_per_second": 1.
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"eval_steps_per_second": 0.
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"step": 24
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"log_history": [
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"grad_norm": 1.0651988304744009e-06,
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"learning_rate": 4.347826086956522e-06,
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"grad_norm": 8.741980082049849e-07,
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"learning_rate": 8.695652173913044e-06,
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"loss": 0.0,
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"step": 20
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"eval_accuracy": 0.75,
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"eval_f1": 0.7519509476031214,
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"eval_f1_macro": 0.5053883314752879,
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"eval_loss": 1.916725516319275,
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"eval_precision": 0.7554824561403508,
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"eval_precision_macro": 0.5029239766081871,
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"eval_recall": 0.75,
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"eval_recall_macro": 0.5090909090909091,
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"eval_runtime": 17.9702,
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"eval_samples_per_second": 1.781,
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"eval_steps_per_second": 0.445,
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"step": 24
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}
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 439039996
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size 439039996
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