metadata
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 |