Basic training script for LLaMA #7
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As I'm working at addressing Carlos' comments and make improvements, I'll also remove the GPL implementation. |
awaelchli
commented
Mar 24, 2023
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@lantiga Updated! I ran the two side by side and get these loss values: Nano:
iter 0: loss 10.3979, time: 11945.28ms
iter 1: loss 10.5749, time: 5160.31ms
iter 2: loss 8.6790, time: 4872.23ms
iter 3: loss 6.8088, time: 5174.96ms
iter 4: loss 6.8616, time: 5044.30ms
Old:
iter 0: loss 10.3839, time: 13507.87ms
iter 1: loss 10.9712, time: 5206.71ms
iter 2: loss 8.3166, time: 4857.47ms
iter 3: loss 6.7234, time: 5104.52ms
iter 4: loss 6.8219, time: 5036.32msThere is a small difference where I'm not sure where it is coming from yet. |
carmocca
reviewed
Mar 24, 2023
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
lantiga
reviewed
Mar 24, 2023
timothylimyl
referenced
this pull request
in timothylimyl/lit-llama-qa
May 21, 2023
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
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Adds a basic training script for LLaMA 7B on the shakespeare dataset.