support infinite loop over alpaca dataset #92
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[ghstack-poisoned]
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ghstack-source-id: 38cbc277e2a177bc0baf35450a661835b97a7f22 Pull Request resolved: #92
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ghstack-source-id: 38cbc277e2a177bc0baf35450a661835b97a7f22 Pull Request resolved: #92
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ghstack-source-id: 38cbc277e2a177bc0baf35450a661835b97a7f22 Pull Request resolved: #92
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ghstack-source-id: 38cbc277e2a177bc0baf35450a661835b97a7f22 Pull Request resolved: pytorch#92
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Stack from ghstack (oldest at bottom):
Previously, alpaca dataset is consumed up after only ~50 iterations with 8 data parallel ranks and 8 batch size. This PR adds the (default) option to loop infinitely on the dataset, so that we can unblock integrating other functionalities. Note that loss-related metrics should be read with caution as this will cause overfit.
(This is a replicated PR from #66 as the migration to pytorch/ confused ghstack.)