Instructions to use Homer-Lin/bert_AIgenerated_2label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Homer-Lin/bert_AIgenerated_2label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Homer-Lin/bert_AIgenerated_2label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Homer-Lin/bert_AIgenerated_2label") model = AutoModelForSequenceClassification.from_pretrained("Homer-Lin/bert_AIgenerated_2label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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init: 5761筆資料訓練
Verified signature===訓練資料=== pre_train_model: bert-base-chinese trainset: ['/content/drive/MyDrive/model_check_ai_context/train_data/train_2026-03-18_5761.csv'] data_size: 4598 train_size: 3678 train_rate: 0.8 label_count: source 0 2299 1 2299 validate_rate: 0.1 ===超參數設定=== epochs: 3 lr: 1.5e-05 batch_size: 24 ===訓練結果=== total_loss: 0.3712 train_accuracy: 0.8381 val_loss: 0.4680 val_accuracy: 0.7826 ===訓練歷程=== Epoch 1/3 | Train Loss: 0.4719 | Train Acc: 0.7749 || Val Loss: 0.4604 | Val Acc: 0.7690 Epoch 2/3 | Train Loss: 0.4124 | Train Acc: 0.8127 || Val Loss: 0.4709 | Val Acc: 0.7527 Epoch 3/3 | Train Loss: 0.3712 | Train Acc: 0.8381 || Val Loss: 0.4680 | Val Acc: 0.7826bb53949 -
init: 5761筆資料訓練
Verified signature===訓練資料=== pre_train_model: bert-base-chinese trainset: ['/content/drive/MyDrive/model_check_ai_context/train_data/train_2026-03-18_5761.csv'] data_size: 4598 train_size: 3678 train_rate: 0.8 label_count: source 0 2299 1 2299 validate_rate: 0.1 ===超參數設定=== epochs: 3 lr: 1.5e-05 batch_size: 24 ===訓練結果=== total_loss: 0.3712 train_accuracy: 0.8381 val_loss: 0.4680 val_accuracy: 0.7826 ===訓練歷程=== Epoch 1/3 | Train Loss: 0.4719 | Train Acc: 0.7749 || Val Loss: 0.4604 | Val Acc: 0.7690 Epoch 2/3 | Train Loss: 0.4124 | Train Acc: 0.8127 || Val Loss: 0.4709 | Val Acc: 0.7527 Epoch 3/3 | Train Loss: 0.3712 | Train Acc: 0.8381 || Val Loss: 0.4680 | Val Acc: 0.78261f459bb -
initial commit
Verified signaturea0c55bd