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