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End of training

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README.md CHANGED
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/bart-legal-base-es](https://huggingface.co/mrm8488/bart-legal-base-es) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7402
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- - Rouge1: 0.2126
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- - Rouge2: 0.0953
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- - Rougel: 0.1757
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- - Rougelsum: 0.176
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  - Gen Len: 20.0
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  ## Model description
@@ -53,17 +53,17 @@ 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 | 32 | 3.5867 | 0.2078 | 0.0822 | 0.1712 | 0.1715 | 20.0 |
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- | No log | 2.0 | 64 | 3.2562 | 0.2158 | 0.0895 | 0.1756 | 0.1757 | 20.0 |
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- | No log | 3.0 | 96 | 3.0885 | 0.2155 | 0.0891 | 0.1773 | 0.1773 | 20.0 |
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- | No log | 4.0 | 128 | 2.9777 | 0.2177 | 0.0925 | 0.179 | 0.1793 | 20.0 |
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- | No log | 5.0 | 160 | 2.9069 | 0.2153 | 0.0953 | 0.1757 | 0.1762 | 20.0 |
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- | No log | 6.0 | 192 | 2.8497 | 0.2176 | 0.0959 | 0.179 | 0.1794 | 20.0 |
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- | No log | 7.0 | 224 | 2.8046 | 0.2151 | 0.0925 | 0.1764 | 0.1767 | 20.0 |
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- | No log | 8.0 | 256 | 2.7734 | 0.2139 | 0.0937 | 0.1756 | 0.1758 | 20.0 |
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- | No log | 9.0 | 288 | 2.7570 | 0.214 | 0.0964 | 0.1776 | 0.1777 | 20.0 |
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- | No log | 10.0 | 320 | 2.7427 | 0.2148 | 0.0965 | 0.1781 | 0.1783 | 20.0 |
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- | No log | 11.0 | 352 | 2.7402 | 0.2126 | 0.0953 | 0.1757 | 0.176 | 20.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/bart-legal-base-es](https://huggingface.co/mrm8488/bart-legal-base-es) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7566
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+ - Rouge1: 0.2152
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+ - Rouge2: 0.0988
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+ - Rougel: 0.1785
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+ - Rougelsum: 0.178
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  - Gen Len: 20.0
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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 | 32 | 3.5607 | 0.21 | 0.0827 | 0.1704 | 0.1703 | 20.0 |
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+ | No log | 2.0 | 64 | 3.2560 | 0.2154 | 0.0915 | 0.1746 | 0.1744 | 20.0 |
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+ | No log | 3.0 | 96 | 3.0996 | 0.2143 | 0.0893 | 0.1739 | 0.1739 | 20.0 |
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+ | No log | 4.0 | 128 | 2.9875 | 0.2129 | 0.0896 | 0.1741 | 0.1741 | 20.0 |
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+ | No log | 5.0 | 160 | 2.9176 | 0.2136 | 0.093 | 0.1753 | 0.1752 | 20.0 |
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+ | No log | 6.0 | 192 | 2.8594 | 0.2136 | 0.0946 | 0.1752 | 0.1752 | 20.0 |
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+ | No log | 7.0 | 224 | 2.8187 | 0.2117 | 0.0928 | 0.1741 | 0.1741 | 20.0 |
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+ | No log | 8.0 | 256 | 2.7920 | 0.2159 | 0.0961 | 0.1775 | 0.1774 | 20.0 |
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+ | No log | 9.0 | 288 | 2.7731 | 0.2117 | 0.0964 | 0.1755 | 0.1754 | 20.0 |
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+ | No log | 10.0 | 320 | 2.7591 | 0.2144 | 0.0978 | 0.1779 | 0.1775 | 20.0 |
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+ | No log | 11.0 | 352 | 2.7566 | 0.2152 | 0.0988 | 0.1785 | 0.178 | 20.0 |
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  ### Framework versions
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