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t5-base_cola_mare_ar2_ex16_size-64_epochs-1_collected-stats

Text Classification
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +5 -5
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8034515819750719
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue 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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- - Accuracy: 0.8035
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5756 | 0.37 | 50 | 0.5372 | 0.6903 |
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- | 0.4776 | 0.75 | 100 | 0.4959 | 0.8054 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8044103547459253
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4881
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+ - Accuracy: 0.8044
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.589 | 0.37 | 50 | 0.5563 | 0.6913 |
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+ | 0.4739 | 0.75 | 100 | 0.5108 | 0.7987 |
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  ### Framework versions
pytorch_model.bin CHANGED
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