README.md

# Model Card for gena_lm_bert_base_human_classify

## Model Details
- **Model Name:** gena_lm_bert_base_human_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%