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dv347
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deberta-v3-large_20

Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
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  1. README.md +28 -28
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,25 +1,25 @@
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  ---
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  library_name: transformers
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  license: mit
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- base_model: microsoft/deberta-v3-base
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: deberta-v3-base_smcalflow-classifier_20
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # deberta-v3-base_smcalflow-classifier_20
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- This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0718
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- - F1 Micro: 0.8731
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- - F1 Macro: 0.2704
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- - Exact Match: 0.3
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  ## Model description
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@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------:|
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- | 0.1028 | 1.0 | 656 | 0.1133 | 0.5700 | 0.0268 | 0.0 |
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- | 0.0761 | 2.0 | 1312 | 0.0969 | 0.5976 | 0.0334 | 0.0 |
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- | 0.0568 | 3.0 | 1968 | 0.0790 | 0.7348 | 0.0651 | 0.0042 |
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- | 0.0404 | 4.0 | 2624 | 0.0710 | 0.7911 | 0.1132 | 0.0653 |
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- | 0.0319 | 5.0 | 3280 | 0.0661 | 0.8167 | 0.1316 | 0.0972 |
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- | 0.0268 | 6.0 | 3936 | 0.0660 | 0.8312 | 0.1582 | 0.1069 |
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- | 0.0250 | 7.0 | 4592 | 0.0676 | 0.8434 | 0.1738 | 0.1278 |
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- | 0.0218 | 8.0 | 5248 | 0.0680 | 0.8481 | 0.1926 | 0.1431 |
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- | 0.0189 | 9.0 | 5904 | 0.0738 | 0.8458 | 0.1938 | 0.1653 |
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- | 0.0180 | 10.0 | 6560 | 0.0696 | 0.8538 | 0.2105 | 0.1819 |
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- | 0.0167 | 11.0 | 7216 | 0.0688 | 0.8626 | 0.2223 | 0.2208 |
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- | 0.0158 | 12.0 | 7872 | 0.0667 | 0.8680 | 0.2337 | 0.2333 |
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- | 0.0142 | 13.0 | 8528 | 0.0714 | 0.8657 | 0.2435 | 0.2542 |
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- | 0.0137 | 14.0 | 9184 | 0.0708 | 0.8695 | 0.2378 | 0.2639 |
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- | 0.0124 | 15.0 | 9840 | 0.0700 | 0.8697 | 0.2515 | 0.275 |
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- | 0.0120 | 16.0 | 10496 | 0.0719 | 0.8720 | 0.2608 | 0.2875 |
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- | 0.0116 | 17.0 | 11152 | 0.0716 | 0.8711 | 0.2598 | 0.2847 |
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- | 0.0109 | 18.0 | 11808 | 0.0724 | 0.8722 | 0.2610 | 0.2861 |
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- | 0.0112 | 19.0 | 12464 | 0.0715 | 0.8735 | 0.2680 | 0.3 |
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- | 0.0111 | 20.0 | 13120 | 0.0718 | 0.8731 | 0.2704 | 0.3 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: mit
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+ base_model: microsoft/deberta-v3-large
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: deberta-v3-large_20
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # deberta-v3-large_20
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+ This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1346
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+ - F1 Micro: 0.3303
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+ - F1 Macro: 0.0103
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+ - Exact Match: 0.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------:|
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+ | 0.0906 | 1.0 | 656 | 0.1086 | 0.5700 | 0.0268 | 0.0 |
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+ | 0.0737 | 2.0 | 1312 | 0.0961 | 0.5972 | 0.0333 | 0.0 |
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+ | 0.0733 | 3.0 | 1968 | 0.0963 | 0.5962 | 0.0333 | 0.0 |
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+ | 0.0779 | 4.0 | 2624 | 0.1057 | 0.5765 | 0.0274 | 0.0 |
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+ | 0.0776 | 5.0 | 3280 | 0.1082 | 0.5561 | 0.0282 | 0.0 |
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+ | 0.0765 | 6.0 | 3936 | 0.1101 | 0.5552 | 0.0272 | 0.0 |
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+ | 0.0768 | 7.0 | 4592 | 0.1099 | 0.5753 | 0.0273 | 0.0 |
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+ | 0.0748 | 8.0 | 5248 | 0.1095 | 0.5796 | 0.0278 | 0.0 |
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+ | 0.0756 | 9.0 | 5904 | 0.1117 | 0.5551 | 0.0245 | 0.0 |
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+ | 0.0764 | 10.0 | 6560 | 0.1181 | 0.4265 | 0.0158 | 0.0 |
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+ | 0.0769 | 11.0 | 7216 | 0.1089 | 0.5551 | 0.0245 | 0.0 |
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+ | 0.0771 | 12.0 | 7872 | 0.1281 | 0.3938 | 0.0134 | 0.0 |
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+ | 0.0761 | 13.0 | 8528 | 0.1348 | 0.3230 | 0.0102 | 0.0 |
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+ | 0.0760 | 14.0 | 9184 | 0.1193 | 0.5551 | 0.0245 | 0.0 |
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+ | 0.0774 | 15.0 | 9840 | 0.1327 | 0.3303 | 0.0103 | 0.0 |
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+ | 0.0764 | 16.0 | 10496 | 0.1360 | 0.2547 | 0.0072 | 0.0 |
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+ | 0.0754 | 17.0 | 11152 | 0.1285 | 0.3798 | 0.0130 | 0.0 |
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+ | 0.0764 | 18.0 | 11808 | 0.1348 | 0.3303 | 0.0103 | 0.0 |
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+ | 0.0772 | 19.0 | 12464 | 0.1327 | 0.3303 | 0.0103 | 0.0 |
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+ | 0.0758 | 20.0 | 13120 | 0.1346 | 0.3303 | 0.0103 | 0.0 |
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  ### Framework versions
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