Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8") - Notebooks
- Google Colab
- Kaggle
Download evaluation_results.csv from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8: direct link, hf CLI and curl.
- Browser
- Download file 1.45 kB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8/resolve/main/evaluation_results.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8/evaluation_results.csv
-
curl -L -o evaluation_results.csv https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-essay_only-r8/resolve/main/evaluation_results.csv
1.45 kB
| eval_loss,eval_model_preparation_time,eval_accuracy,eval_RMSE,eval_QWK,eval_HDIV,eval_Macro_F1,eval_Micro_F1,eval_Weighted_F1,eval_TP_0,eval_TN_0,eval_FP_0,eval_FN_0,eval_TP_1,eval_TN_1,eval_FP_1,eval_FN_1,eval_TP_2,eval_TN_2,eval_FP_2,eval_FN_2,eval_TP_3,eval_TN_3,eval_FP_3,eval_FN_3,eval_TP_4,eval_TN_4,eval_FP_4,eval_FN_4,eval_TP_5,eval_TN_5,eval_FP_5,eval_FN_5,eval_runtime,eval_samples_per_second,eval_steps_per_second,epoch,reference,timestamp,id | |
| 3.6220855712890625,0.0091,0.36363636363636365,36.680438185149114,0.0,0.007575757575757569,0.10666666666666666,0.36363636363636365,0.19393939393939394,0,131,0,1,0,132,0,0,0,128,0,4,0,68,0,64,48,0,84,0,0,117,0,15,24.2109,5.452,1.363,-1,validation_before_training,2025-07-04 14:50:42,phi-4-phi4_classification_lora-C4-essay_only | |
| 1.1552156209945679,0.0091,0.5984848484848485,28.4977404739606,0.5317662007623889,0.007575757575757569,0.3420681125114623,0.5984848484848485,0.5857335429659657,0,131,0,1,0,132,0,0,0,128,0,4,46,46,22,18,26,60,24,22,7,110,7,8,23.9776,5.505,1.376,9.0,validation_after_training,2025-07-04 14:50:42,phi-4-phi4_classification_lora-C4-essay_only | |
| 1.1784944534301758,0.0091,0.6014492753623188,27.662562992324986,0.4293233082706768,0.007246376811594235,0.1934934934934935,0.6014492753623188,0.5512381947164555,0,137,0,1,0,137,0,1,0,129,0,9,68,26,36,8,15,79,13,31,0,127,6,5,25.5375,5.404,1.371,9.0,test_results,2025-07-04 14:50:42,phi-4-phi4_classification_lora-C4-essay_only | |