fix: resolve model detection and evaluation dropdown issues in app c8d8b34 Running rshakked commited on 9 days ago
fix: ensure trained model is correctly detected using absolute path 96bc19d rshakked commited on 9 days ago
feat: save and display abuse prediction results with timestamped filenames 980da81 rshakked commited on 9 days ago
feat: add live training log streaming using TrainerCallback and background thread ac6514b rshakked commited on 10 days ago
feat: add TrainerCallback to stream live training logs to UI c71da37 rshakked commited on 10 days ago
fix: stream logs to Gradio UI using yield instead of logger only d08a52d rshakked commited on 10 days ago
fix: make label_columns explicit parameter in label_row_soft 5071ec6 rshakked commited on 10 days ago
refactor: create predict_pipeline.py and utils.py to modularize app logic bc56514 rshakked commited on 10 days ago
feat: persist model and logs in Hugging Face Space + add model push to hub 54299e5 rshakked commited on 10 days ago
feat: add support for evaluating saved model without retraining 1294c96 rshakked commited on 10 days ago
fix: pass tokenizer explicitly to AbuseDataset and safeguard evaluation step 5c16708 rshakked commited on 10 days ago
feat(app): run training on button click and display logs after completion 2032430 rshakked commited on 10 days ago
fix: reduce batch size and enable gradient checkpointing to prevent GPU OOM crashes fedc8f2 rshakked commited on 10 days ago
chore(debug): move device check to top of script for clearer startup logs 285a433 rshakked commited on 11 days ago
chore(debug): print tensor devices and CUDA availability for troubleshooting d4ac0ac rshakked commited on 11 days ago
fix: remove .to(device) from dataset to avoid pin_memory error in Trainer 92846e1 rshakked commited on 11 days ago
Add version print for transformers to debug dependency issues fea5367 rshakked commited on 11 days ago
updated train_abuse_model to save the traind model after training process 5524706 rshakked commited on 11 days ago