---
base_model: allenai/longformer-large-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: patentClassificationLongFormer2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# patentClassificationLongFormer2

This model is a fine-tuned version of [allenai/longformer-large-4096](https://huggingface.co/allenai/longformer-large-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5872
- Accuracy: 0.6915
- F1: 0.6830

## 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: 1.2626703924039218e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 14
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2371119155080165
- lr_scheduler_warmup_steps: 60
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6157        | 1.0   | 2219 | 0.5872          | 0.6915   | 0.6830 |
| 0.5701        | 2.0   | 4438 | 0.6197          | 0.6558   | 0.7278 |
| 0.4684        | 3.0   | 6657 | 0.6148          | 0.6937   | 0.7203 |
| 0.3747        | 4.0   | 8876 | 0.6910          | 0.6915   | 0.6971 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3