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kennethge123
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superglue_rte-t5-base

Text Classification
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +23 -23
  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: 0.7725631768953068
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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 super_glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5687
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- - Accuracy: 0.7726
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  ## Model description
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@@ -64,26 +64,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.7109 | 1.0 | 623 | 0.6765 | 0.5740 |
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- | 0.6562 | 2.0 | 1246 | 0.6030 | 0.6968 |
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- | 0.548 | 3.0 | 1869 | 0.8049 | 0.7617 |
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- | 0.4129 | 4.0 | 2492 | 1.3536 | 0.7329 |
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- | 0.2189 | 5.0 | 3115 | 1.3886 | 0.7834 |
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- | 0.1378 | 6.0 | 3738 | 1.7001 | 0.7690 |
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- | 0.0905 | 7.0 | 4361 | 2.0587 | 0.7545 |
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- | 0.0434 | 8.0 | 4984 | 2.1796 | 0.7798 |
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- | 0.0715 | 9.0 | 5607 | 1.9936 | 0.7978 |
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- | 0.0616 | 10.0 | 6230 | 1.9794 | 0.7762 |
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- | 0.0609 | 11.0 | 6853 | 2.5575 | 0.7509 |
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- | 0.0108 | 12.0 | 7476 | 2.1022 | 0.7834 |
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- | 0.0142 | 13.0 | 8099 | 2.0628 | 0.7834 |
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- | 0.03 | 14.0 | 8722 | 2.1540 | 0.7726 |
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- | 0.0163 | 15.0 | 9345 | 2.3830 | 0.7653 |
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- | 0.0152 | 16.0 | 9968 | 2.5031 | 0.7617 |
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- | 0.0092 | 17.0 | 10591 | 2.4850 | 0.7653 |
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- | 0.0069 | 18.0 | 11214 | 2.4939 | 0.7726 |
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- | 0.0184 | 19.0 | 11837 | 2.4949 | 0.7690 |
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- | 0.0204 | 20.0 | 12460 | 2.5687 | 0.7726 |
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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: 0.8405797101449275
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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 super_glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8826
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+ - Accuracy: 0.8406
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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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+ | 0.7037 | 1.0 | 623 | 0.6646 | 0.5797 |
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+ | 0.6448 | 2.0 | 1246 | 0.5461 | 0.7899 |
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+ | 0.4943 | 3.0 | 1869 | 0.8069 | 0.7536 |
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+ | 0.3854 | 4.0 | 2492 | 1.2553 | 0.8188 |
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+ | 0.1244 | 5.0 | 3115 | 1.4887 | 0.7826 |
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+ | 0.0836 | 6.0 | 3738 | 1.7422 | 0.7681 |
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+ | 0.0672 | 7.0 | 4361 | 1.7002 | 0.8116 |
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+ | 0.0449 | 8.0 | 4984 | 1.9237 | 0.7971 |
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+ | 0.0246 | 9.0 | 5607 | 1.7064 | 0.7899 |
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+ | 0.0239 | 10.0 | 6230 | 1.4433 | 0.8551 |
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+ | 0.0233 | 11.0 | 6853 | 2.1623 | 0.7754 |
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+ | 0.0348 | 12.0 | 7476 | 2.2059 | 0.7754 |
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+ | 0.0268 | 13.0 | 8099 | 1.9322 | 0.8261 |
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+ | 0.0076 | 14.0 | 8722 | 2.5687 | 0.7464 |
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+ | 0.0117 | 15.0 | 9345 | 2.3024 | 0.7899 |
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+ | 0.0129 | 16.0 | 9968 | 2.0848 | 0.7971 |
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+ | 0.0206 | 17.0 | 10591 | 1.9453 | 0.8333 |
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+ | 0.0162 | 18.0 | 11214 | 2.1232 | 0.7971 |
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+ | 0.0132 | 19.0 | 11837 | 1.9754 | 0.8406 |
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+ | 0.0098 | 20.0 | 12460 | 1.8826 | 0.8406 |
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  ### Framework versions
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