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Model Trained: google-bert/bert-base-uncased
📊 Evaluation Results
The model was evaluated after 5 epochs of training. The evaluation metrics are as follows:
| Metric | Value |
|---|---|
| Loss | 0.4436 |
| Accuracy | 81.25% |
| Precision | 80.94% |
| Recall | 81.25% |
| F1 Score | 80.97% |
🏋️ Training Performance
The model was trained for 5 epochs, completing 3050 global steps. The training performance metrics are summarized below:
- Training Loss: 0.3258
- Training Runtime: 2 hrs 40 min 44 sec
- Samples per Second: 10.12
- Steps per Second: 0.32
- Total FLOPs: 2.57 × 10¹⁶
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