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---
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license: apache-2.0
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base_model: allenai/longformer-base-4096
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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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- f1
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- precision
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- recall
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model-index:
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- name: patentClassfication2
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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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# patentClassfication2
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6892
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- Accuracy: 0.5443
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- F1: 0.7049
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- Precision: 0.5443
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- Recall: 1.0
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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: 0.00010736040521746779
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- train_batch_size: 2
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- eval_batch_size: 4
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- seed: 51
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.6904 | 1.0 | 4992 | 0.6893 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
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| 0.6892 | 2.0 | 9985 | 0.6982 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
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| 0.6916 | 3.0 | 14977 | 0.6892 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
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| 0.6877 | 4.0 | 19970 | 0.6900 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
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| 0.6878 | 5.0 | 24960 | 0.6901 | 0.5443 | 0.7049 | 0.5443 | 1.0 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.0
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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