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microsoft/deberta-v3-base-finetuned-t_payment

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5300
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- - Accuracy: 0.985
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- - F1: 0.9837
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  ## Model description
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@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6862 | 1.0 | 26 | 0.7016 | 0.95 | 0.9256 |
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- | 0.6355 | 2.0 | 52 | 0.6505 | 0.955 | 0.9371 |
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- | 0.5273 | 3.0 | 78 | 0.5689 | 0.945 | 0.9501 |
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- | 0.2888 | 4.0 | 104 | 0.5825 | 0.985 | 0.9837 |
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- | 0.1518 | 5.0 | 130 | 0.5300 | 0.985 | 0.9837 |
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  ### Framework versions
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- - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6916
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+ - Accuracy: 0.975
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+ - F1: 0.9729
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6873 | 1.0 | 26 | 0.7043 | 0.95 | 0.9256 |
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+ | 0.66 | 2.0 | 52 | 0.6669 | 0.955 | 0.9371 |
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+ | 0.5209 | 3.0 | 78 | 0.5129 | 0.805 | 0.8556 |
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+ | 0.2546 | 4.0 | 104 | 0.6089 | 0.97 | 0.9684 |
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+ | 0.1266 | 5.0 | 130 | 0.6916 | 0.975 | 0.9729 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -29,7 +29,7 @@
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  "relative_attention": true,
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  "share_att_key": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.1",
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  "type_vocab_size": 0,
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  "vocab_size": 128100
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  }
 
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  "relative_attention": true,
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  "share_att_key": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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  "type_vocab_size": 0,
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  "vocab_size": 128100
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  }
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