| --- |
| base_model: allenai/longformer-large-4096 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: patentClassificationLongFormer2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # patentClassificationLongFormer2 |
|
|
| This model is a fine-tuned version of [allenai/longformer-large-4096](https://huggingface.co/allenai/longformer-large-4096) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5872 |
| - Accuracy: 0.6915 |
| - F1: 0.6830 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1.2626703924039218e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 14 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.2371119155080165 |
| - lr_scheduler_warmup_steps: 60 |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.6157 | 1.0 | 2219 | 0.5872 | 0.6915 | 0.6830 | |
| | 0.5701 | 2.0 | 4438 | 0.6197 | 0.6558 | 0.7278 | |
| | 0.4684 | 3.0 | 6657 | 0.6148 | 0.6937 | 0.7203 | |
| | 0.3747 | 4.0 | 8876 | 0.6910 | 0.6915 | 0.6971 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
| |
