Text Classification
Grok
English
distilbert
mcp
tool-calling
qa-testing
error-detection
Eval Results (legacy)
Instructions to use brijeshvadi/mcp-error-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Grok
How to use brijeshvadi/mcp-error-classifier with Grok:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "output_dir": "./results", | |
| "num_train_epochs": 5, | |
| "per_device_train_batch_size": 32, | |
| "per_device_eval_batch_size": 64, | |
| "learning_rate": 2e-05, | |
| "weight_decay": 0.01, | |
| "evaluation_strategy": "epoch", | |
| "save_strategy": "epoch", | |
| "load_best_model_at_end": true, | |
| "metric_for_best_model": "f1", | |
| "fp16": true | |
| } |