WebAug 28, 2013 · top_k >0: keep top k tokens with highest prob (top-k filtering). top_p >0.0: keep the top p tokens which compose cumulative probability mass top_p (nucleus filtering). min_tokens_to_keep >=1: always keep at least this many tokens through the top_p / … Web""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering: Args: logits: logits distribution shape (batch size x vocabulary size) top_k > 0: keep only top k tokens with highest probability (top-k filtering). top_p > 0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).

Sample the next token from a probability distribution using top-k and/o…

WebApr 12, 2024 · In the top_k_top_p_filtering function, it set the logit score to zero but doesn't change the probability distribution. Does "Change the probability distribution" is necessary … WebOct 7, 2024 · def top_k_top_p_filtering ( logits: Tensor, top_k: int = 0, top_p: float = 1.0, filter_value: float =-float ("Inf"), min_tokens_to_keep: int = 1, ) -> Tensor: """Filter a … flat back dryer clearance

pytorch-transformers/run_generation.py at master - Github

WebJul 2, 2024 · Effectively, Top-k tries to condense the amount of possible tokens to choose from by filtering to remove the really unlikely useless tokens. ... Order: top_k, top_p, tfs, temperature. Sigurd The Old Familiar. Randomness: 0.8 Top-K Sampling: 50 Nucleus Sampling: 0.9 Repetition Penalty: 2 Web1 day ago · The S&P 500 index SPX, +1.33% is headed toward a pair of important resistance levels on the price chart as it rallies off its March 13 intraday low at 3,809, said Mark Arbeter, president of ... WebDec 4, 2024 · If `top_k<=0` this filter is not applied – line 25. top_p (a.k.a. nucleus filtering): sort words in the vocabulary by descending logit, apply softmax to turn logits into probabilities and keep the top N tokens so that the sum of their probabilities is less or equal than top_p. If we set `top_p=0.9` and the network believes the first most ... flat back driftwood