11 авг. 2022 г. · If I use accelerator, should I change the num_training_steps to something like this? And how to understand this:.

23 нояб. 2023 г. · Let's say I try to train the model with a custom dataset. The number of data is 2,000, the batch size is 128 and the number of epochs is 10.

num_training_steps (int) — The number of training steps to do. Setup the scheduler. The optimizer of the trainer must have been set up either before this method ...

15 окт. 2023 г. · I'm using linear scheduler. I find that the learning rate is 0 after half of args.max_train_steps. Also the warmup schedule looks work until the half of args. ...

num_training_steps ( int ) – The number of training steps. num_cycles ( int ) – The number of hard restarts to be used. last_epoch ( int ) – The ...

num_training_steps (int) – The total number of training steps. num_cycles (float) – The number of waves in the cosine schedule. Defaults to 0.5 (decrease ...

7 окт. 2023 г. · Prepare for training · Remove the columns corresponding to values the model does not expect (like the sentence1 and sentence2 columns). · Rename ...

7 февр. 2020 г. · So, basically num_training_steps = N_EPOCHS+1 is not correct, unless your batch_size is equal to the training set size. You call scheduler.step ...

... num_training_steps-num_warmup_steps`` (assuming ``num_cycles`` = 0.5). This ... num_training_steps (int): The total number of training steps.

Args: num_training_steps (int): The number of training ... get_warmup_steps(num_training_steps), num_training_steps=num_training_steps, ) return self.