Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C1-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-C1-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-C1-essay_only-r8") - Notebooks
- Google Colab
- Kaggle
Download evaluation_results.csv from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C1-essay_only-r8: direct link, hf CLI and curl.
- Browser
- Download file 1.44 kB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C1-essay_only-r8/resolve/main/evaluation_results.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C1-essay_only-r8/evaluation_results.csv
-
curl -L -o evaluation_results.csv https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C1-essay_only-r8/resolve/main/evaluation_results.csv
1.44 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 | |
| 3.746385097503662,0.009,0.4621212121212121,44.17595671307132,-0.25277057297807115,0.05303030303030298,0.1304812834224599,0.4621212121212121,0.31137578998541565,0,131,0,1,0,132,0,0,0,117,8,7,0,93,0,39,61,6,63,2,0,110,0,22,21.3239,6.19,1.548,-1,validation_before_training,2025-07-04 10:03:43,phi-4-phi4_classification_lora-C1-essay_only | |
| 1.1259310245513916,0.009,0.6742424242424242,24.370871833797697,0.7337395027169438,0.0,0.502593964180767,0.6742424242424242,0.6698309545913631,0,131,0,1,0,132,0,0,5,118,7,2,21,86,7,18,50,47,22,13,13,103,7,9,21.0616,6.267,1.567,15.0,validation_after_training,2025-07-04 10:03:43,phi-4-phi4_classification_lora-C1-essay_only | |
| 1.0189533233642578,0.009,0.6159420289855072,27.240208984279956,0.6675700090334237,0.007246376811594235,0.4546094428447369,0.6159420289855072,0.6116426909265785,0,137,0,1,0,138,0,0,9,113,15,1,30,66,6,36,41,62,25,10,5,121,7,5,22.5429,6.122,1.553,15.0,test_results,2025-07-04 10:03:43,phi-4-phi4_classification_lora-C1-essay_only | |