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 |
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for muhtasham/web-scale-ner
Base model
allenai/longformer-base-4096