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license: mit |
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ghostmax/softmax1 trained on tinystories for 500M tokens. |
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ckpt will be out_* files trained 2 models 1 with regular softmax |
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REPO: https://github.com/joey00072/llama2.c/tree/ghostmax |
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softmax: https://wandb.ai/shubhamchoudhari00072/ghostmax/reports/loss-val-23-08-25-21-48-58---Vmlldzo1MjM0MjUw <br> |
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ghostmax: https://wandb.ai/shubhamchoudhari00072/ghostmax/reports/loss-val-23-08-25-21-50-15---Vmlldzo1MjM0MjYw <br> |
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```python |
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def softmax(x, dim=None): |
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e_x = torch.exp(x - torch.max(x, dim=dim, keepdim=True)[0]) |
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return e_x / e_x.sum(dim=dim, keepdim=True) |
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def ghostmax(x, dim=None): |
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e_x = torch.exp(x - torch.max(x, dim=dim, keepdim=True)[0]) |
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return e_x / (1+e_x.sum(dim=dim, keepdim=True) ) |
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``` |
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<br> |
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<iframe src="https://wandb.ai/shubhamchoudhari00072/ghostmax/runs/cbeei9uh?workspace=user-shubhamchoudhari00072" style="border:none;height:1024px;width:100%"> |
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