| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: Classfication_longformer |
| | 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. --> |
| |
|
| | # Classfication_longformer |
| | |
| | This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1012 |
| | - Accuracy: 0.65 |
| | |
| | ## 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: 2e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 37 | 0.9535 | 0.7895 | |
| | | No log | 2.0 | 74 | 1.0426 | 0.4737 | |
| | | No log | 3.0 | 111 | 0.4770 | 0.8947 | |
| | | No log | 4.0 | 148 | 0.9353 | 0.6316 | |
| | | No log | 5.0 | 185 | 0.8856 | 0.6842 | |
| | | No log | 6.0 | 222 | 0.6509 | 0.8421 | |
| | | No log | 7.0 | 259 | 1.7107 | 0.6842 | |
| | | No log | 8.0 | 296 | 1.2910 | 0.7368 | |
| | | No log | 9.0 | 333 | 2.6230 | 0.6316 | |
| | | No log | 10.0 | 370 | 1.6727 | 0.6842 | |
| | | No log | 11.0 | 407 | 2.1794 | 0.6842 | |
| | | No log | 12.0 | 444 | 2.2832 | 0.6842 | |
| | | No log | 13.0 | 481 | 1.5007 | 0.7368 | |
| | | 0.3791 | 14.0 | 518 | 2.3911 | 0.6842 | |
| | | 0.3791 | 15.0 | 555 | 2.2838 | 0.6842 | |
| | | 0.3791 | 16.0 | 592 | 2.1564 | 0.6842 | |
| | | 0.3791 | 17.0 | 629 | 2.2632 | 0.6842 | |
| | | 0.3791 | 18.0 | 666 | 2.3907 | 0.6842 | |
| | | 0.3791 | 19.0 | 703 | 2.3995 | 0.6842 | |
| | | 0.3791 | 20.0 | 740 | 2.3958 | 0.6842 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| | |
