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@@ -8,10 +8,10 @@ This was made using Chansung's 30B Alpaca Lora: https://huggingface.co/chansung/
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  <p><strong>Training Parameters</strong></p>
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  <ul><li>num_epochs=10</li><li>cutoff_len=512</li><li>group_by_length</li><li>lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'</li><li>lora_r=16</li><li>micro_batch_size=8</li></ul>
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  <p><strong><font size="5">Benchmarks</font></strong></p>
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- <strong>Wikitext2</strong>: 4.37
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- <strong>Ptb</strong>: 7.58
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- <strong>C4</strong>: 6.19
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  <strong>Note</strong>: This version uses <i>--groupsize 128</i>, resulting in better evaluations. However, it consumes more VRAM.
 
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  <p><strong>Training Parameters</strong></p>
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  <ul><li>num_epochs=10</li><li>cutoff_len=512</li><li>group_by_length</li><li>lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'</li><li>lora_r=16</li><li>micro_batch_size=8</li></ul>
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  <p><strong><font size="5">Benchmarks</font></strong></p>
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+ <strong>Wikitext2</strong>: 4.473957061767578
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+ <strong>Ptb-New</strong>: 8.682597160339355
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+ <strong>C4-New</strong>: 6.517213344573975
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  <strong>Note</strong>: This version uses <i>--groupsize 128</i>, resulting in better evaluations. However, it consumes more VRAM.