prithviraj-maurya commited on
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End of training

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.003
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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
@@ -33,10 +33,10 @@ 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 the legal_bench dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 10.6817
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- - Rouge1: 0.003
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  - Rouge2: 0.0
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  - Rougel: 0.003
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- - Rougelsum: 0.0029
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  - Gen Len: 19.0
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  ## Model description
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 1 | 10.8579 | 0.0016 | 0.0 | 0.0017 | 0.0016 | 19.0 |
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- | No log | 2.0 | 2 | 10.7719 | 0.0019 | 0.0 | 0.0019 | 0.0019 | 19.0 |
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- | No log | 3.0 | 3 | 10.7123 | 0.0033 | 0.0 | 0.0034 | 0.0033 | 19.0 |
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- | No log | 4.0 | 4 | 10.6817 | 0.003 | 0.0 | 0.003 | 0.0029 | 19.0 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.0029
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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-small](https://huggingface.co/t5-small) on the legal_bench dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 10.6817
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+ - Rouge1: 0.0029
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  - Rouge2: 0.0
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  - Rougel: 0.003
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+ - Rougelsum: 0.003
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  - Gen Len: 19.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 1 | 10.8579 | 0.0015 | 0.0 | 0.0016 | 0.0016 | 19.0 |
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+ | No log | 2.0 | 2 | 10.7719 | 0.0018 | 0.0 | 0.0019 | 0.0019 | 19.0 |
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+ | No log | 3.0 | 3 | 10.7123 | 0.0033 | 0.0 | 0.0033 | 0.0033 | 19.0 |
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+ | No log | 4.0 | 4 | 10.6817 | 0.0029 | 0.0 | 0.003 | 0.003 | 19.0 |
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  ### Framework versions
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