Token Classification
Transformers
Safetensors
English
roberta
social-science
computational-social-science
clause-segmentation
discourse-modes
isaac
disco
Eval Results (legacy)
Instructions to use ISAAC-corpus/isaac-generalization-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISAAC-corpus/isaac-generalization-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ISAAC-corpus/isaac-generalization-segmentation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ISAAC-corpus/isaac-generalization-segmentation") model = AutoModelForTokenClassification.from_pretrained("ISAAC-corpus/isaac-generalization-segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from ISAAC-corpus/isaac-generalization-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
-
https://huggingface.co/ISAAC-corpus/isaac-generalization-segmentation/resolve/main/trainer_state.json
- Command line
-
hf download hf://ISAAC-corpus/isaac-generalization-segmentation/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/ISAAC-corpus/isaac-generalization-segmentation/resolve/main/trainer_state.json
829 Bytes
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 10.0, | |
| "global_step": 490, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 7.959183673469388e-06, | |
| "loss": 0.4344, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 5.918367346938776e-06, | |
| "loss": 0.171, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "learning_rate": 3.877551020408164e-06, | |
| "loss": 0.1436, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "learning_rate": 1.8367346938775512e-06, | |
| "loss": 0.1312, | |
| "step": 400 | |
| } | |
| ], | |
| "max_steps": 490, | |
| "num_train_epochs": 10, | |
| "total_flos": 2032907146629120.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |