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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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model-index: |
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- name: output |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# output |
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0554 |
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- Name Student Precision: 0.9535 |
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- Name Student Recall: 1.0 |
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- Name Student F1: 0.9762 |
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- Name Student Number: 41 |
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- Url Personal Precision: 0.0 |
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- Url Personal Recall: 0.0 |
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- Url Personal F1: 0.0 |
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- Url Personal Number: 1 |
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- Overall Precision: 0.9535 |
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- Overall Recall: 0.9762 |
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- Overall F1: 0.9647 |
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- Overall Accuracy: 0.9925 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Name Student Precision | Name Student Recall | Name Student F1 | Name Student Number | Url Personal Precision | Url Personal Recall | Url Personal F1 | Url Personal Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:-----------------:|:--------------:|:----------:|:----------------:| |
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| 0.0023 | 1.0 | 100 | 0.0549 | 0.9535 | 1.0 | 0.9762 | 41 | 0.0 | 0.0 | 0.0 | 1 | 0.9535 | 0.9762 | 0.9647 | 0.9925 | |
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| 0.0009 | 2.0 | 200 | 0.0554 | 0.9535 | 1.0 | 0.9762 | 41 | 0.0 | 0.0 | 0.0 | 1 | 0.9535 | 0.9762 | 0.9647 | 0.9925 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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