---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_test_24Jan
  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_24Jan

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: 0.2570
- Accuracy: 0.9687

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5747        | 1.0   | 1318  | 0.2918          | 0.9311   |
| 0.3317        | 2.0   | 2636  | 0.2456          | 0.9459   |
| 0.2215        | 3.0   | 3954  | 0.2050          | 0.9550   |
| 0.1525        | 4.0   | 5272  | 0.2775          | 0.9590   |
| 0.0977        | 5.0   | 6590  | 0.2771          | 0.9585   |
| 0.0899        | 6.0   | 7908  | 0.2663          | 0.9613   |
| 0.082         | 7.0   | 9226  | 0.2500          | 0.9636   |
| 0.0698        | 8.0   | 10544 | 0.2939          | 0.9607   |
| 0.0287        | 9.0   | 11862 | 0.2668          | 0.9653   |
| 0.0417        | 10.0  | 13180 | 0.2570          | 0.9687   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0