《Efficient Deep Learning Book》[EDL] Chapter 4 - Efficient Architecturesabout a dog and cat, but we know that they are both cute, have been domesticated for a while and are safe. These two animals are more similar to each other than to a random animal like a chimp. Similarly extremely dangerous, even though stuffed teddy bears have conditioned us into thinking that they might be safe and cute. A raccoon can seem to be cute (remember Rocket the raccoon from Guardians of the Galaxy x-axis, and the feature ‘dangerous’ occupies the y-axis. The animals on the bottom-right are cute and safe to play with. The dangerous animals occupy the top-left area of the plot. Note how we have compressed0 码力 | 53 页 | 3.92 MB | 1 年前3
AI大模型千问 qwen 中文文档NotImplementedError to_return = {k: maybe_zero_3(v) for k, v in to_return.items()} return to_return def safe_save_model_for_hf_trainer( trainer: transformers.Trainer, output_dir: str, bias="none" ): """Collects should_save and trainer.args.local_rank == 0: trainer._save(output_dir, state_dict=state_dict) 方法 safe_save_model_for_hf_trainer 通过使用 get_peft_state_maybe_zero_3 有助于解决 在保存采用或未采用 ZeRO3 技术训练的模型时遇到的问题。 def use_lora ): trainer.train(resume_from_checkpoint=True) else: trainer.train() trainer.save_state() safe_save_model_for_hf_trainer( trainer=trainer, output_dir=training_args.output_dir, bias=lora_args.lora_bias0 码力 | 56 页 | 835.78 KB | 1 年前3
《Efficient Deep Learning Book》[EDL] Chapter 1 - Introductionregulations for those who collect data of European citizens, such that they are responsible for the safe-keeping of the data and are held legally liable for data breaches. The law went into effect in 20180 码力 | 21 页 | 3.17 MB | 1 年前3
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