---
base_model: allenai/longformer-large-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: patentClassfication3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# patentClassfication3

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: 0.5626
- Accuracy: 0.7273
- F1: 0.7363

## 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: 1.4489735300181872e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 240
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.5874        | 1.0   | 4438  | 0.5567          | 0.7050   | 0.7191 |
| 0.5338        | 2.0   | 8876  | 0.5391          | 0.7226   | 0.7435 |
| 0.4762        | 3.0   | 13314 | 0.5626          | 0.7273   | 0.7363 |


### Framework versions

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