Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use henryscheible/cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/cola") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from henryscheible/cola: direct link, hf CLI and curl.
- Browser
- Download file 836 Bytes
-
https://huggingface.co/henryscheible/cola/resolve/main/trainer_state.json
- Command line
-
hf download hf://henryscheible/cola/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/henryscheible/cola/resolve/main/trainer_state.json
836 Bytes
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "global_step": 1340, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 1.2537313432835823e-05, | |
| "loss": 0.41, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 5.074626865671642e-06, | |
| "loss": 0.1757, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 1340, | |
| "total_flos": 2812328292979200.0, | |
| "train_loss": 0.24051682059444598, | |
| "train_runtime": 776.8272, | |
| "train_samples_per_second": 55.038, | |
| "train_steps_per_second": 1.725 | |
| } | |
| ], | |
| "max_steps": 1340, | |
| "num_train_epochs": 5, | |
| "total_flos": 2812328292979200.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |