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