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Token Classification
Transformers
Safetensors
bert
Generated from Trainer
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Fine-tuned on product search domain (brand, product name, origin)

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  1. README.md +6 -6
  2. best/model.safetensors +1 -1
  3. best/training_args.bin +1 -1
  4. model.safetensors +1 -1
  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 [bltlab/queryner-bert-base-uncased](https://huggingface.co/bltlab/queryner-bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2001
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  ## Model description
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@@ -48,11 +48,11 @@ 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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- | 0.2541 | 1.0 | 1138 | 0.3024 |
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- | 0.1518 | 2.0 | 2276 | 0.1705 |
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- | 0.078 | 3.0 | 3414 | 0.1875 |
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- | 0.0312 | 4.0 | 4552 | 0.2040 |
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- | 0.0289 | 5.0 | 5690 | 0.2001 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bltlab/queryner-bert-base-uncased](https://huggingface.co/bltlab/queryner-bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2311
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2458 | 1.0 | 1138 | 0.2450 |
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+ | 0.1747 | 2.0 | 2276 | 0.1722 |
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+ | 0.0859 | 3.0 | 3414 | 0.2087 |
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+ | 0.0335 | 4.0 | 4552 | 0.2588 |
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+ | 0.041 | 5.0 | 5690 | 0.2311 |
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  ### Framework versions
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