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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
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Commit
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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/Sep25_18-22-08_credentek-Desktop/events.out.tfevents.1727268728.credentek-Desktop.5462.0 +3 -0
  4. runs/Sep25_18-22-08_credentek-Desktop/events.out.tfevents.1727269342.credentek-Desktop.5462.1 +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: 0.5052
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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 | 232 | 2.9725 |
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- | No log | 2.0 | 464 | 1.8887 |
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- | 3.0481 | 3.0 | 696 | 1.1843 |
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- | 3.0481 | 4.0 | 928 | 0.7978 |
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- | 1.1937 | 5.0 | 1160 | 0.6441 |
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- | 1.1937 | 6.0 | 1392 | 0.5684 |
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- | 0.6166 | 7.0 | 1624 | 0.5439 |
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- | 0.6166 | 8.0 | 1856 | 0.5169 |
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- | 0.4832 | 9.0 | 2088 | 0.5052 |
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- | 0.4832 | 10.0 | 2320 | 0.5349 |
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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: 0.5468
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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 | 232 | 3.0432 |
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+ | No log | 2.0 | 464 | 1.9526 |
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+ | 3.091 | 3.0 | 696 | 1.2518 |
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+ | 3.091 | 4.0 | 928 | 0.8770 |
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+ | 1.1843 | 5.0 | 1160 | 0.6901 |
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+ | 1.1843 | 6.0 | 1392 | 0.6103 |
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+ | 0.6016 | 7.0 | 1624 | 0.6044 |
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+ | 0.6016 | 8.0 | 1856 | 0.5615 |
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+ | 0.4816 | 9.0 | 2088 | 0.5547 |
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+ | 0.4816 | 10.0 | 2320 | 0.5468 |
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  ### Framework versions
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