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---
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 | |