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deberta-v2
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End of training

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  1. README.md +9 -7
  2. model.safetensors +1 -1
  3. runs/Jun03_10-43-45_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1717411427.0417-111206-hkgnini8-10-45-16-10.6681.31 +3 -0
  4. 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: 0.5471
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 20
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- - eval_batch_size: 20
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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: 3
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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 | 1 | 0.5471 |
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- | No log | 2.0 | 2 | 0.5514 |
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- | No log | 3.0 | 3 | 0.5567 |
 
 
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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: 0.6059
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 5
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+ - eval_batch_size: 5
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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 | 4 | 0.5372 |
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+ | No log | 2.0 | 8 | 0.6090 |
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+ | No log | 3.0 | 12 | 0.6280 |
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+ | No log | 4.0 | 16 | 0.6147 |
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+ | No log | 5.0 | 20 | 0.6059 |
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  ### Framework versions
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