Change epsilon value to 1e-8 for optimizers & adamwfp8 and adamwbf16 …#703
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…optimizer addition Updated epsilon value for various optimizers to improve numerical stability.
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The epsilon value is set at 1e-6 instead of 1e-8 for BF16, which most modern models use during training. BF16 only has ~3 decimal digits of precision (8 exponent bits, 7 mantissa bits), so 1e-8 effectively rounds to zero in BF16 range making 1e-6 needed for numerical stability and preventing dividing by zero. |
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…optimizer addition
Updated epsilon value for various optimizers to improve numerical stability.