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thomashacker 2023-03-31 10:56:49 +02:00
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website/docs/usage/embeddings-transformers.mdx
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@ -745,14 +745,17 @@ To benefit from pretraining, your training step needs to know to initialize its
this by setting `initialize.init_tok2vec` to the filename of the `.bin` file this by setting `initialize.init_tok2vec` to the filename of the `.bin` file
that you want to use from pretraining. that you want to use from pretraining.
A pretraining step that runs for 5 epochs with an output path of `pretrain/`, as Similar to training, pretraining produces a `model-last.bin` file which is the
an example, produces `pretrain/model0.bin` through `pretrain/model4.bin`. To last iteration of the trained weights which you can use to initialize your
make use of the final output, you could fill in this value in your config file: `tok2vec` layer. Additionally, you can configure `n_save_epoch` to tell
pretraining in which epoch interval it should save the current training
progress. To make use of the final output, you could fill in this value in your
config file:
```ini {title="config.cfg"} ```ini {title="config.cfg"}
[paths] [paths]
init_tok2vec = "pretrain/model4.bin" init_tok2vec = "pretrain/model-last.bin"
[initialize] [initialize]
init_tok2vec = ${paths.init_tok2vec} init_tok2vec = ${paths.init_tok2vec}