---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: patentClassfication2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# patentClassfication2

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6892
- Accuracy: 0.5443
- F1: 0.7049
- Precision: 0.5443
- Recall: 1.0

## 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: 0.00010736040521746779
- train_batch_size: 2
- eval_batch_size: 4
- seed: 51
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6904        | 1.0   | 4992  | 0.6893          | 0.5443   | 0.7049 | 0.5443    | 1.0    |
| 0.6892        | 2.0   | 9985  | 0.6982          | 0.5443   | 0.7049 | 0.5443    | 1.0    |
| 0.6916        | 3.0   | 14977 | 0.6892          | 0.5443   | 0.7049 | 0.5443    | 1.0    |
| 0.6877        | 4.0   | 19970 | 0.6900          | 0.5443   | 0.7049 | 0.5443    | 1.0    |
| 0.6878        | 5.0   | 24960 | 0.6901          | 0.5443   | 0.7049 | 0.5443    | 1.0    |


### Framework versions

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