Instructions to use z44t/electra_lora_cls_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use z44t/electra_lora_cls_final with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("german-nlp-group/electra-base-german-uncased") model = PeftModel.from_pretrained(base_model, "z44t/electra_lora_cls_final") - Transformers
How to use z44t/electra_lora_cls_final with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("z44t/electra_lora_cls_final", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": 50, | |
| "best_metric": 0.5587511111365233, | |
| "best_model_checkpoint": "models/electra_lora_cls_globalthr_multirun_200_50_50/seed_44/checkpoint-50", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_f1_combined": 0.5452116232628655, | |
| "eval_f1_macro": 0.3379034785090686, | |
| "eval_f1_micro": 0.6340579710144928, | |
| "eval_loss": 0.8292089700698853, | |
| "eval_runtime": 15.7432, | |
| "eval_samples_per_second": 3.176, | |
| "eval_steps_per_second": 0.445, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.5471842288970947, | |
| "learning_rate": 2.0357142857142858e-05, | |
| "loss": 0.8112, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_f1_combined": 0.5587511111365233, | |
| "eval_f1_macro": 0.3246249159096231, | |
| "eval_f1_micro": 0.6590909090909091, | |
| "eval_loss": 0.8023490905761719, | |
| "eval_runtime": 15.6165, | |
| "eval_samples_per_second": 3.202, | |
| "eval_steps_per_second": 0.448, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 125, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 2, | |
| "early_stopping_threshold": 0.0001 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 53359742976000.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |