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TenaliAI-FinTech-v1

Text Classification
Transformers
PyTorch
TensorBoard
Joblib
Safetensors
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +26 -26
  2. model.safetensors +1 -1
  3. runs/Dec19_18-32-30_SuperWhite/events.out.tfevents.1734613351.SuperWhite.19727.0 +3 -0
  4. runs/Dec19_18-32-30_SuperWhite/events.out.tfevents.1734637628.SuperWhite.19727.1 +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: 0.8354
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  ## Model description
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@@ -47,31 +47,31 @@ 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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- | 2.3149 | 1.0 | 3805 | 1.9892 |
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- | 1.2456 | 2.0 | 7610 | 1.1899 |
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- | 0.9588 | 3.0 | 11415 | 0.9585 |
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- | 0.8487 | 4.0 | 15220 | 0.8958 |
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- | 0.7874 | 5.0 | 19025 | 0.8803 |
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- | 0.7452 | 6.0 | 22830 | 0.8615 |
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- | 0.703 | 7.0 | 26635 | 0.8594 |
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- | 0.706 | 8.0 | 30440 | 0.8418 |
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- | 0.681 | 9.0 | 34245 | 0.8509 |
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- | 0.6653 | 10.0 | 38050 | 0.8445 |
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- | 0.6728 | 11.0 | 41855 | 0.8354 |
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- | 0.6226 | 12.0 | 45660 | 0.8583 |
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- | 0.6599 | 13.0 | 49465 | 0.8481 |
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- | 0.6375 | 14.0 | 53270 | 0.8592 |
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- | 0.64 | 15.0 | 57075 | 0.8599 |
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- | 0.644 | 16.0 | 60880 | 0.8704 |
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- | 0.5926 | 17.0 | 64685 | 0.8955 |
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- | 0.6346 | 18.0 | 68490 | 0.8906 |
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- | 0.6127 | 19.0 | 72295 | 0.9010 |
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- | 0.6051 | 20.0 | 76100 | 0.8887 |
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- | 0.6311 | 21.0 | 79905 | 0.8976 |
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- | 0.6386 | 22.0 | 83710 | 0.8875 |
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- | 0.606 | 23.0 | 87515 | 0.8969 |
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- | 0.6063 | 24.0 | 91320 | 0.9097 |
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- | 0.595 | 25.0 | 95125 | 0.9169 |
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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: 0.8315
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 2.3436 | 1.0 | 3809 | 1.9815 |
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+ | 1.2453 | 2.0 | 7618 | 1.1621 |
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+ | 0.9853 | 3.0 | 11427 | 0.9375 |
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+ | 0.8483 | 4.0 | 15236 | 0.9018 |
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+ | 0.8195 | 5.0 | 19045 | 0.8538 |
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+ | 0.7579 | 6.0 | 22854 | 0.8540 |
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+ | 0.7123 | 7.0 | 26663 | 0.8397 |
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+ | 0.7064 | 8.0 | 30472 | 0.8405 |
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+ | 0.6987 | 9.0 | 34281 | 0.8315 |
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+ | 0.676 | 10.0 | 38090 | 0.8530 |
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+ | 0.6566 | 11.0 | 41899 | 0.8504 |
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+ | 0.6411 | 12.0 | 45708 | 0.8501 |
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+ | 0.6432 | 13.0 | 49517 | 0.8545 |
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+ | 0.6483 | 14.0 | 53326 | 0.8624 |
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+ | 0.6447 | 15.0 | 57135 | 0.8635 |
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+ | 0.6077 | 16.0 | 60944 | 0.8782 |
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+ | 0.6208 | 17.0 | 64753 | 0.8925 |
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+ | 0.624 | 18.0 | 68562 | 0.8834 |
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+ | 0.6298 | 19.0 | 72371 | 0.9000 |
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+ | 0.6488 | 20.0 | 76180 | 0.8922 |
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+ | 0.6019 | 21.0 | 79989 | 0.9025 |
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+ | 0.6412 | 22.0 | 83798 | 0.8963 |
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+ | 0.6078 | 23.0 | 87607 | 0.9045 |
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+ | 0.6163 | 24.0 | 91416 | 0.8898 |
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+ | 0.6275 | 25.0 | 95225 | 0.9036 |
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  ### Framework versions
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