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deberta-v2
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End of training

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/Jun03_10-31-04_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717410667.0417-111206-hkgnini8-10-45-16-10.6681.23 +3 -0
  4. runs/Jun03_10-31-04_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717410722.0417-111206-hkgnini8-10-45-16-10.6681.24 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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: 0.6738
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  ## Model description
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@@ -34,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 3
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  - eval_batch_size: 3
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  - seed: 42
@@ -46,9 +46,9 @@ 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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- | No log | 1.0 | 7 | 0.6877 |
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- | No log | 2.0 | 14 | 0.6776 |
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- | No log | 3.0 | 21 | 0.6738 |
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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: 0.6561
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 3
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  - eval_batch_size: 3
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 7 | 0.6638 |
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+ | No log | 2.0 | 14 | 0.6582 |
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+ | No log | 3.0 | 21 | 0.6561 |
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  ### Framework versions
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