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credentek
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TenaliAI-FinTech-v1

Text Classification
Transformers
PyTorch
TensorBoard
Joblib
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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End of training

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Files changed (5) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Oct31_15-19-18_SuperWhite/events.out.tfevents.1730368158.SuperWhite.65399.0 +3 -0
  4. runs/Oct31_15-19-18_SuperWhite/events.out.tfevents.1730368716.SuperWhite.65399.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4434
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  ## Model description
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@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 221 | 3.2495 |
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- | No log | 2.0 | 442 | 2.1825 |
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- | 3.1846 | 3.0 | 663 | 1.3847 |
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- | 3.1846 | 4.0 | 884 | 0.8974 |
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- | 1.3057 | 5.0 | 1105 | 0.6630 |
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- | 1.3057 | 6.0 | 1326 | 0.5452 |
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- | 0.5926 | 7.0 | 1547 | 0.4850 |
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- | 0.5926 | 8.0 | 1768 | 0.4557 |
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- | 0.5926 | 9.0 | 1989 | 0.4434 |
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- | 0.4391 | 10.0 | 2210 | 0.4463 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4419
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 225 | 3.0115 |
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+ | No log | 2.0 | 450 | 1.8864 |
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+ | 3.0615 | 3.0 | 675 | 1.1785 |
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+ | 3.0615 | 4.0 | 900 | 0.8054 |
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+ | 1.1443 | 5.0 | 1125 | 0.6114 |
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+ | 1.1443 | 6.0 | 1350 | 0.5187 |
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+ | 0.5613 | 7.0 | 1575 | 0.5193 |
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+ | 0.5613 | 8.0 | 1800 | 0.4634 |
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+ | 0.4275 | 9.0 | 2025 | 0.4494 |
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+ | 0.4275 | 10.0 | 2250 | 0.4419 |
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  ### Framework versions
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