| --- |
| base_model: eclec/patentClassificationLongFormer2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: patentClassificationLongFormer3 |
| 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. --> |
|
|
| # patentClassificationLongFormer3 |
|
|
| 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: 0.4056 |
| - Accuracy: 0.8115 |
| - F1: 0.5806 |
|
|
| ## 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: 1.3494108617032343e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 11 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.17770742346220472 |
| - lr_scheduler_warmup_steps: 59 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.4232 | 1.0 | 1107 | 0.4202 | 0.8041 | 0.5957 | |
| | 0.3753 | 2.0 | 2215 | 0.4056 | 0.8115 | 0.5806 | |
| | 0.3157 | 3.0 | 3321 | 0.4318 | 0.8073 | 0.5949 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
| |
