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End of training

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README.md CHANGED
@@ -5,7 +5,7 @@ base_model: t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
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- - accuracy
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  model-index:
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  - name: t5-sst2
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  results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2725
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- - Accuracy: 0.9014
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  ## Model description
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@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.2778 | 1.0 | 2105 | 0.2721 | 0.8899 |
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- | 0.2401 | 2.0 | 4210 | 0.2660 | 0.8979 |
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- | 0.2173 | 3.0 | 6315 | 0.2661 | 0.8956 |
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- | 0.2081 | 4.0 | 8420 | 0.2701 | 0.8979 |
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- | 0.2123 | 5.0 | 10525 | 0.2725 | 0.9014 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - matthews_correlation
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  model-index:
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  - name: t5-sst2
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  results: []
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5772
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+ - Matthews Correlation: 0.1494
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | No log | 1.0 | 268 | 0.6116 | 0.0 |
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+ | 0.6166 | 2.0 | 536 | 0.6026 | 0.0 |
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+ | 0.6166 | 3.0 | 804 | 0.5865 | 0.0 |
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+ | 0.5827 | 4.0 | 1072 | 0.5814 | 0.1230 |
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+ | 0.5827 | 5.0 | 1340 | 0.5772 | 0.1494 |
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  ### Framework versions
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