tydymy/gena_lm_bert_base_human_classify

Model Card for genalmbertbasehuman_classify

Model Details

• —Model Name: genalmbertbasehuman_classify
• —Type: Transformer
• —Main Application: [Brief description of the main application of the model, e.g., text classification, image recognition, etc.]

Training Data

• —Description: [Brief description of the training data, including source, nature (text, images, etc.), and size.]
• —Preprocessing: [Details of any preprocessing steps applied to the training data.]

Model Architecture

• —Architecture Details: [Details about the model architecture, e.g., number of layers, type of layers, etc.]
• —Framework Used: PyTorch

Training Procedure

• —Epochs: 2
• —Batch Size: 64
• —Learning Rate: 2e-5
• —Weight Decay: 0.01

Training Performance

• —Epoch 1:
• —Training Loss: 0.088600
• —Validation Loss: 0.079851
• —Accuracy: 96.9529%
• —F1 Score: 96.9840%
• —Precision: 95.7133%
• —Recall: 98.2889%

• —Epoch 2:
• —Training Loss: 0.058800
• —Validation Loss: 0.057442
• —Accuracy: 98.0280%
• —F1 Score: 98.0338%
• —Precision: 97.4486%
• —Recall: 98.6260%