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fix small typo

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Snehal Raj 2023-03-25 20:36:46 +01:00 committed by GitHub
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@ -37,7 +37,7 @@ This creates a `train.bin` and `val.bin` in that data directory. Now it is time
$ python train.py config/train_shakespeare_char.py $ python train.py config/train_shakespeare_char.py
``` ```
If you peak inside it, you'll see that we're training a GPT with a context size of up to 256 characters, 384 feature channels, and it is a 6-layer Transformer with 6 heads in each layer. On one A100 GPU this training run takes about 3 minutes and the best validation loss is 1.4697. Based on the configuration, the model checkpoints are being written into the `--out_dir` directory `out-shakespeare-char`. So once the training finishes we can sample from the best model by pointing the sampling script at this directory: If you peek inside it, you'll see that we're training a GPT with a context size of up to 256 characters, 384 feature channels, and it is a 6-layer Transformer with 6 heads in each layer. On one A100 GPU this training run takes about 3 minutes and the best validation loss is 1.4697. Based on the configuration, the model checkpoints are being written into the `--out_dir` directory `out-shakespeare-char`. So once the training finishes we can sample from the best model by pointing the sampling script at this directory:
``` ```
$ python sample.py --out_dir=out-shakespeare-char $ python sample.py --out_dir=out-shakespeare-char