---
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                          |