Optimize 🤗 Hugging Face models with Weights & Biases
Hugging Face provides tools to quickly train neural networks for NLP (Natural Language Processing) on any task (classification, translation, question answering, etc) and any dataset with PyTorch and TensorFlow 2.0.
Coupled with Weights & Biases integration, you can quickly train and monitor models for full traceability and reproducibility without any extra line of code! You just need to install the library, sign in, and your experiments will automatically be logged:
pip install wandb
wandb login
Note: To enable logging to W&B, set report_to to wandb in your TrainingArguments or script.
W&B integration with 🤗 Hugging Face can automatically:
log your configuration parameters
log your losses and metrics
log gradients and parameter distributions
log your model
keep track of your code
log your system metrics (GPU, CPU, memory, temperature, etc)
Here's what the W&B interactive dashboard will look like:
Hugging Face provides tools to quickly train neural networks for NLP (Natural Language Processing) on any task (classification, translation, question answering, etc) and any dataset with PyTorch and TensorFlow 2.0.
Coupled with Weights & Biases integration, you can quickly train and monitor models for full traceability and reproducibility without any extra line of code! You just need to install the library, sign in, and your experiments will automatically be logged:
pip install wandb
wandb login
Note: To enable logging to W&B, set report_to to wandb in your TrainingArguments or script.
W&B integration with 🤗 Hugging Face can automatically:
log your configuration parameters
log your losses and metrics
log gradients and parameter distributions
log your model
keep track of your code
log your system metrics (GPU, CPU, memory, temperature, etc)
Here's what the W&B interactive dashboard will look like: