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README.md
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---
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base_model: allenai/longformer-large-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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model-index:
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- name: patentClassificationLongFormer2
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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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# patentClassificationLongFormer2
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This model is a fine-tuned version of [allenai/longformer-large-4096](https://huggingface.co/allenai/longformer-large-4096) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5872
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- Accuracy: 0.6915
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- F1: 0.6830
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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: 1.2626703924039218e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 14
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.2371119155080165
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- lr_scheduler_warmup_steps: 60
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.6157 | 1.0 | 2219 | 0.5872 | 0.6915 | 0.6830 |
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| 0.5701 | 2.0 | 4438 | 0.6197 | 0.6558 | 0.7278 |
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| 0.4684 | 3.0 | 6657 | 0.6148 | 0.6937 | 0.7203 |
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| 0.3747 | 4.0 | 8876 | 0.6910 | 0.6915 | 0.6971 |
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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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