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ops_subcate

Text Classification
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deberta-v2
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ops_subcate

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  1. README.md +16 -14
  2. model.safetensors +1 -1
  3. runs/Jul30_07-13-32_06a218ada6c5/events.out.tfevents.1722323619.06a218ada6c5.1464.5 +3 -0
  4. runs/Jul30_07-13-32_06a218ada6c5/events.out.tfevents.1722324164.06a218ada6c5.1464.6 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ 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-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1325
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- - Accuracy: 0.7228
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- - F1: 0.7556
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- - Precision: 0.7866
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- - Recall: 0.7270
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  ## Model description
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@@ -50,20 +50,22 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 49 | 0.6030 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 98 | 0.3307 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 147 | 0.3022 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 4.0 | 196 | 0.2354 | 0.3121 | 0.4343 | 0.7171 | 0.3114 |
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- | No log | 5.0 | 245 | 0.1831 | 0.5306 | 0.6169 | 0.7313 | 0.5335 |
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- | No log | 6.0 | 294 | 0.1580 | 0.6355 | 0.6895 | 0.7504 | 0.6377 |
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- | No log | 7.0 | 343 | 0.1408 | 0.6779 | 0.7257 | 0.7702 | 0.6861 |
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- | No log | 8.0 | 392 | 0.1325 | 0.7228 | 0.7556 | 0.7866 | 0.7270 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1575
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+ - Accuracy: 0.7428
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+ - F1: 0.7647
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+ - Precision: 0.7715
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+ - Recall: 0.7581
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 49 | 0.1300 | 0.7291 | 0.7604 | 0.7883 | 0.7345 |
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+ | No log | 2.0 | 98 | 0.1272 | 0.7391 | 0.7707 | 0.7989 | 0.7444 |
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+ | No log | 3.0 | 147 | 0.1294 | 0.7391 | 0.7654 | 0.7918 | 0.7407 |
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+ | No log | 4.0 | 196 | 0.1388 | 0.7341 | 0.7567 | 0.7733 | 0.7407 |
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+ | No log | 5.0 | 245 | 0.1326 | 0.7541 | 0.7791 | 0.8026 | 0.7568 |
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+ | No log | 6.0 | 294 | 0.1407 | 0.7478 | 0.7743 | 0.7940 | 0.7556 |
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+ | No log | 7.0 | 343 | 0.1445 | 0.7341 | 0.7576 | 0.7712 | 0.7444 |
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+ | No log | 8.0 | 392 | 0.1533 | 0.7528 | 0.7684 | 0.7776 | 0.7593 |
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+ | No log | 9.0 | 441 | 0.1573 | 0.7628 | 0.7747 | 0.7816 | 0.7680 |
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+ | No log | 10.0 | 490 | 0.1575 | 0.7428 | 0.7647 | 0.7715 | 0.7581 |
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  ### Framework versions
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