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Madi7a
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deberta-absa

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Safetensors
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deberta_absa

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  1. README.md +5 -2
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -4,6 +4,8 @@ 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-absa
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  results: []
@@ -16,7 +18,8 @@ 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-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: 0.5029
 
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  ## Model description
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@@ -41,7 +44,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 15
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  ### Training results
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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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+ metrics:
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+ - f1
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  model-index:
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  - name: deberta-absa
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  results: []
 
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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: 0.4935
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+ - F1: 0.7190
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 7
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  ### Training results
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