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Minor documentation modifications for discrimination: Adding required checkpoint path and explicit parameter counts. #57

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Minor documentation modifications for discrimination: Adding required checkpoint path and explicit parameter counts. #57

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8 changes: 5 additions & 3 deletions discrimination/README.md
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Expand Up @@ -11,16 +11,18 @@ Here are links to the discrimination checkpoints. You'll need to use google clou

In other words, if you want to mimic my experimental setup, but with your own generator, you'd also need to train your own discriminator from scratch. Alternatively, if you want a really good discriminator against my checkpoints for whatever reason, you'd also probably want to train your own discriminator from scratch.

Medium trained on medium, top-p=0.96:
Medium trained on medium (355M parameters), top-p=0.96:
```
gs://grover-models/discrimination/generator=medium~discriminator=grover~discsize=medium~dataset=p=0.96/model.ckpt-1562.data-00000-of-00001
gs://grover-models/discrimination/generator=medium~discriminator=grover~discsize=medium~dataset=p=0.96/model.ckpt-1562.index
gs://grover-models/discrimination/generator=medium~discriminator=grover~discsize=medium~dataset=p=0.96/model.ckpt-1562.meta
gs://grover-models/discrimination/generator=medium~discriminator=grover~discsize=medium~dataset=p=0.96/checkpoint
```

Mega trained on mega, top-p=0.94:
Mega trained on mega (1.5B parameters), top-p=0.94:
```
gs://grover-models/discrimination/generator=mega~discriminator=grover~discsize=mega~dataset=p=0.94/model.ckpt-1562.data-00000-of-00001
gs://grover-models/discrimination/generator=mega~discriminator=grover~discsize=mega~dataset=p=0.94/model.ckpt-1562.index
gs://grover-models/discrimination/generator=mega~discriminator=grover~discsize=mega~dataset=p=0.94/model.ckpt-1562.meta
```
gs://grover-models/discrimination/generator=mega~discriminator=grover~discsize=mega~dataset=p=0.94/checkpoint
```