| --- |
| license: apache-2.0 |
| base_model: allenai/longformer-base-4096 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: results-improved |
| results: [] |
| library_name: transformers |
| pipeline_tag: token-classification |
| language: |
| - en |
| --- |
| |
| **Training and Evaluation Metrics** |
|
|
| | Metric | Value | |
| |---------------------------|--------------------------------| |
| | **Evaluation Recall** | 0.8099 | |
| | **Training Runtime** | 3761.66 seconds | |
| | **Evaluation Steps/Sec** | 0.304 | |
| | **Total FLOPs** | 55,842,753,586,544,640 | |
| | **Training Loss** | 0.3471 | |
| | **Training Loss (Epoch)** | 0.7509 | |
| | **Training Epochs** | 5 | |
| | **Evaluation Accuracy** | 0.8099 | |
| | **Gradient Norm** | 5.0118 | |
| | **Learning Rate** | 1.88e-8 | |
| | **Evaluation Samples/Sec** | 23.205 | |
| | **Evaluation F1 Score** | 0.8132 | |
| | **Wandb Runtime** | 3822 seconds | |
| | **Runtime** | 3821.17 seconds | |
| | **Evaluation Loss** | 0.5319 | |
| | **Evaluation Runtime** | 46.067 seconds | |
| | **Evaluation Precision** | 0.8206 | |
| | **Global Training Steps** | 270 | |
| | **Training Steps/Sec** | 0.072 | |
| | **Training Samples/Sec** | 5.681 | |
