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hanzhi713SujeethJinesh
hanzhi713
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SujeethJinesh
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Add fuji 150b test
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‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash-fp8.txt‎

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‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash-fp8_init.txt‎

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decoder/emb/token_emb/weight: normal(0, 1.0 / fan_out), shape=[32768, 12288], axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/self_attention/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 112, 128), axes=FanAxes(in_axis=0, out_axis=(1, 2), batch_axis=())
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 96, 128), axes=FanAxes(in_axis=(1, 2), out_axis=0, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: normal(0, 1.0 / fan_in), shape=(43008, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/output_norm/scale: constant(1.0)
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decoder/lm_head/weight: normal(0, 1.0 / fan_in), shape=(32768, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())

‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash-fp8_regularizer.txt‎

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====================weight_decay_scale root.optimizer====================
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decoder/emb/token_emb/weight: 1
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decoder/lm_head/weight: 1
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decoder/output_norm/scale: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: 1
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decoder/transformer/repeat/layer/feed_forward/norm/scale: 1
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/norm/scale: 1

‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash.txt‎

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‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash_init.txt‎

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decoder/emb/token_emb/weight: normal(0, 1.0 / fan_out), shape=[32768, 12288], axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/self_attention/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 112, 128), axes=FanAxes(in_axis=0, out_axis=(1, 2), batch_axis=())
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 96, 128), axes=FanAxes(in_axis=(1, 2), out_axis=0, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: normal(0, 1.0 / fan_in), shape=(43008, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/output_norm/scale: constant(1.0)
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decoder/lm_head/weight: normal(0, 1.0 / fan_in), shape=(32768, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())

‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-flash_regularizer.txt‎

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====================weight_decay_scale root.optimizer====================
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decoder/emb/token_emb/weight: 1
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decoder/lm_head/weight: 1
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decoder/output_norm/scale: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: 1
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decoder/transformer/repeat/layer/feed_forward/norm/scale: 1
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/norm/scale: 1

‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-fp8.txt‎

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‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-fp8_init.txt‎

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decoder/emb/token_emb/weight: normal(0, 1.0 / fan_out), shape=[32768, 12288], axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/self_attention/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 112, 128), axes=FanAxes(in_axis=0, out_axis=(1, 2), batch_axis=())
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: normal(0, 1.0 / fan_in), shape=(12288, 96, 128), axes=FanAxes(in_axis=(1, 2), out_axis=0, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/norm/scale: constant(1.0)
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: normal(0, 1.0 / fan_in), shape=(12288, 43008), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: normal(0, 1.0 / fan_in), shape=(43008, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())
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decoder/output_norm/scale: constant(1.0)
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decoder/lm_head/weight: normal(0, 1.0 / fan_in), shape=(32768, 12288), axes=FanAxes(in_axis=-2, out_axis=-1, batch_axis=())

‎axlearn/experiments/testdata/axlearn.experiments.text.gpt.c4_trainer/fuji-150B-v2-fp8_regularizer.txt‎

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====================weight_decay_scale root.optimizer====================
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decoder/emb/token_emb/weight: 1
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decoder/lm_head/weight: 1
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decoder/output_norm/scale: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_0/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear1_1/weight: 1
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decoder/transformer/repeat/layer/feed_forward/linear2/weight: 1
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decoder/transformer/repeat/layer/feed_forward/norm/scale: 1
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decoder/transformer/repeat/layer/self_attention/attention/i_proj/i_proj/qkv_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/attention/o_proj/weight: 1
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decoder/transformer/repeat/layer/self_attention/norm/scale: 1

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