| --- |
| base_model: eclec/patentClassificationLongFormer2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: patentClassificationLongFormerTextrank |
| 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. --> |
|
|
| # patentClassificationLongFormerTextrank |
|
|
| This model is a fine-tuned version of [eclec/patentClassificationLongFormer2](https://huggingface.co/eclec/patentClassificationLongFormer2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4294 |
| - Accuracy: 0.7959 |
| - F1: 0.6187 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: 1.330504416591152e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 3 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.24934655263987432 |
| - lr_scheduler_warmup_steps: 90 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.4444 | 1.0 | 2059 | 0.4397 | 0.7947 | 0.6100 | |
| | 0.3942 | 2.0 | 4119 | 0.4294 | 0.7959 | 0.6187 | |
| | 0.3331 | 3.0 | 6177 | 0.4607 | 0.7999 | 0.6078 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.1 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.2 |
| |
