In machine learning, visualizing and inspecting the training data is highly recommended. Because human perception is naturally adept at identifying visual oddities and patterns, data visualization serves as a crucial safeguard against errors and mistakes during the design of experiments.

Claude

1. Training data included the standard WMT 2014 English-German dataset consisting of about 4.5 million sentence pairs. Sentences were encoded using byte-pair encoding.
2. For English-French, we used the significantly larger WMT 2014 English-French dataset consisting of 36M. Sentence pairs were batched together by approximate sequence length.
3. Each training batch contained a set of sentence pairs containing approximately 25000 source tokens and 25000 target tokens.
4. Optimizer – Adam B1 = 0:9, B2 = 0:98 and e = 10^-9

Training Data


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