Transformers Trainer. - **model_wrapped** -- Always points to the most external m

- **model_wrapped** -- Always points to the most external model in case one or more other modules wrap the original model. The model to train, evaluate or use for predictions. HfArgumentParser，我们可以将 TrainingArguments 实例转换为 argparse 参数（可以在命令行中指定）。 xxxxxxxxxx class transformers. Lewis explains how to train or fine-tune a Transformer model with the Trainer API. The Trainer contains the basic training loop which supports the above features. TrainerCallback subclasses, such as: WandbCallback to automatically log training metrics to W&B if wandb is installed 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and Transformers Agents and Tools Auto Classes Backbones Callbacks Configuration Data Collator Keras callbacks Logging Models Text Generation ONNX Optimization Model outputs Pipelines Processors Quantization Tokenizer Trainer DeepSpeed ExecuTorch Feature Extractor Image Processor Models Text models The [Trainer] class provides an API for feature-complete training in PyTorch, and it supports distributed training on multiple GPUs/TPUs, mixed precision for NVIDIA GPUs, AMD GPUs, and torch. You only need to pass it the necessary pieces for training (model, tokenizer, dataset, evaluation function, training hyperparameters, etc. The Trainer class abstracts away much of the complexity involved in training machine learning models, making it easier for practitioners to focus on developing and experimenting with Mar 26, 2023 · I think the default Trainer class in Hugging Face transformers library is built on top of PyTorch. co/transformers/main_classes/trainer. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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