Create README.md

README.md

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+# 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%