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dadashzadeh
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bert-base-news-or-informational-nft-english

Text Classification
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English
bert
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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Dec15_08-38-42_40f3a3b152a2/events.out.tfevents.1702629530.40f3a3b152a2.566.0 +3 -0
  4. runs/Dec15_08-38-42_40f3a3b152a2/events.out.tfevents.1702629877.40f3a3b152a2.566.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0006
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- - Accuracy: 0.9998
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.0071 | 1.0 | 5184 | 0.0056 | 0.9990 |
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- | 0.0028 | 2.0 | 10368 | 0.0014 | 0.9996 |
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- | 0.0001 | 3.0 | 15552 | 0.0006 | 0.9998 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0004
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+ - Accuracy: 0.9999
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0756 | 1.0 | 999 | 0.0204 | 0.9945 |
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+ | 0.0174 | 2.0 | 1998 | 0.0041 | 0.9989 |
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+ | 0.005 | 3.0 | 2997 | 0.0004 | 0.9999 |
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  ### Framework versions
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