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deberta-v2
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End of training

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  1. README.md +12 -7
  2. model.safetensors +1 -1
  3. runs/Jun03_11-18-11_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717413493.0417-111206-hkgnini8-10-45-16-10.6681.34 +3 -0
  4. runs/Jun03_11-18-11_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717413766.0417-111206-hkgnini8-10-45-16-10.6681.35 +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: 0.3573
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  ## Model description
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@@ -40,17 +40,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 16 | 0.4115 |
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- | No log | 2.0 | 32 | 0.3740 |
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- | No log | 3.0 | 48 | 0.3706 |
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- | No log | 4.0 | 64 | 0.3614 |
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- | No log | 5.0 | 80 | 0.3573 |
 
 
 
 
 
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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: 0.1043
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 16 | 0.3287 |
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+ | No log | 2.0 | 32 | 0.2921 |
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+ | No log | 3.0 | 48 | 0.2538 |
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+ | No log | 4.0 | 64 | 0.2106 |
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+ | No log | 5.0 | 80 | 0.1782 |
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+ | No log | 6.0 | 96 | 0.1501 |
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+ | No log | 7.0 | 112 | 0.1291 |
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+ | No log | 8.0 | 128 | 0.1176 |
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+ | No log | 9.0 | 144 | 0.1081 |
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+ | No log | 10.0 | 160 | 0.1043 |
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  ### Framework versions
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