---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_test_14Dec
  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. -->

# classification_test_14Dec

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: 0.3279
- Accuracy: 0.9493

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4495        | 1.0   | 5293  | 0.6105          | 0.8841   |
| 0.2916        | 2.0   | 10586 | 0.4680          | 0.9294   |
| 0.3098        | 3.0   | 15879 | 0.4065          | 0.9419   |
| 0.2335        | 4.0   | 21172 | 0.3796          | 0.9430   |
| 0.1565        | 5.0   | 26465 | 0.3467          | 0.9428   |
| 0.1886        | 6.0   | 31758 | 0.3174          | 0.9487   |
| 0.1042        | 7.0   | 37051 | 0.3279          | 0.9493   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0