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export m2/soft-pool

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exports/m2/soft-pool/index.html CHANGED
@@ -1202,7 +1202,7 @@ training, with the spill of E1 beside them; seed mean and range over every run.
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  <p>Both soft twins spilled more than their fixed arms, and the pool over slices 1 to 3, which has no fixed twin, spilled most.</p>
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  <p>The ramp over slices 1 to 3 lost the anchor on one seed of eight at the fixed temperature, where the anchor-ramp ramps from slice 1 lost two or three. That fits the second anchor-ramp reading, that the earlier slices need about as much pull as the step gives them: this ramp gives slices 1 to 3 that much, and drops slice 4 instead.</p>
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  <p>Its one loss came later and in another way, with the alignment partly back by the end but no longer doing the work. That is a reason to keep scoring removal, and not alignment alone, when judging a run.</p>
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- <p>The soft ramp kept the anchor on every seed here without the step between slices 1 and 2, so it would be a candidate if its spill can be kept down. If the spill comes from the soft pool reaching every position, as E3 suggests, two changes would aim at it: a soft pool over the answer positions only, so the pull is shared among the example answers and the query answer and nowhere else, or a stronger anti term while the pool is soft. Turning the anti term off on slice 4 might also let the ramp keep the concept there. As it stands, <code>falloff</code> still keeps the anchor on every seed with the edit inside the criterion, which no new arm matched on both counts.</p>
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  <h2 id="method">Method<a class="anchor-link" href="#method" title="Link to this heading">&para;</a></h2>
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  <p>The pooling temperatures are step inputs here, scheduled like the weights (<code>AnchorSpec.tau_start</code>, <code>slice_tau_start</code> and <code>tau_anneal_end</code>); before this experiment they were fixed when the training step was built. The schedule is minimum-jerk in log τ from the start value at epoch 0 to the end value at epoch 40, and holds after. Training otherwise follows the split-anti-seeds experiment unchanged. The trajectory of each run also keeps α by slice and position for each op separately, and the e₁ component of every syntax embedding, for later use. The 32 runs cost about $11.</p>
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  <div class="footnote all-sidenoted">
 
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  <p>Both soft twins spilled more than their fixed arms, and the pool over slices 1 to 3, which has no fixed twin, spilled most.</p>
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  <p>The ramp over slices 1 to 3 lost the anchor on one seed of eight at the fixed temperature, where the anchor-ramp ramps from slice 1 lost two or three. That fits the second anchor-ramp reading, that the earlier slices need about as much pull as the step gives them: this ramp gives slices 1 to 3 that much, and drops slice 4 instead.</p>
1204
  <p>Its one loss came later and in another way, with the alignment partly back by the end but no longer doing the work. That is a reason to keep scoring removal, and not alignment alone, when judging a run.</p>
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+ <p>The soft ramp kept the anchor on every seed here without the step between slices 1 and 2, so it would be a candidate if its spill can be kept down. If the spill comes from the soft pool reaching every position, as E3 suggests, a stronger anti term while the pool is soft would aim at it. Turning the anti term off on slice 4 might also let the ramp keep the concept there. As it stands, <code>falloff</code> still keeps the anchor on every seed with the edit inside the criterion, which no new arm matched on both counts.</p>
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  <h2 id="method">Method<a class="anchor-link" href="#method" title="Link to this heading">&para;</a></h2>
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  <p>The pooling temperatures are step inputs here, scheduled like the weights (<code>AnchorSpec.tau_start</code>, <code>slice_tau_start</code> and <code>tau_anneal_end</code>); before this experiment they were fixed when the training step was built. The schedule is minimum-jerk in log τ from the start value at epoch 0 to the end value at epoch 40, and holds after. Training otherwise follows the split-anti-seeds experiment unchanged. The trajectory of each run also keeps α by slice and position for each op separately, and the e₁ component of every syntax embedding, for later use. The 32 runs cost about $11.</p>
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  <div class="footnote all-sidenoted">
exports/m2/soft-pool/index.md CHANGED
@@ -188,7 +188,7 @@ The ramp over slices 1 to 3 lost the anchor on one seed of eight at the fixed te
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  Its one loss came later and in another way, with the alignment partly back by the end but no longer doing the work. That is a reason to keep scoring removal, and not alignment alone, when judging a run.
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- The soft ramp kept the anchor on every seed here without the step between slices 1 and 2, so it would be a candidate if its spill can be kept down. If the spill comes from the soft pool reaching every position, as E3 suggests, two changes would aim at it: a soft pool over the answer positions only, so the pull is shared among the example answers and the query answer and nowhere else, or a stronger anti term while the pool is soft. Turning the anti term off on slice 4 might also let the ramp keep the concept there. As it stands, `falloff` still keeps the anchor on every seed with the edit inside the criterion, which no new arm matched on both counts.
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  ## Method
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  Its one loss came later and in another way, with the alignment partly back by the end but no longer doing the work. That is a reason to keep scoring removal, and not alignment alone, when judging a run.
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+ The soft ramp kept the anchor on every seed here without the step between slices 1 and 2, so it would be a candidate if its spill can be kept down. If the spill comes from the soft pool reaching every position, as E3 suggests, a stronger anti term while the pool is soft would aim at it. Turning the anti term off on slice 4 might also let the ramp keep the concept there. As it stands, `falloff` still keeps the anchor on every seed with the edit inside the criterion, which no new arm matched on both counts.
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  ## Method
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