---
library_name: transformers
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: jackmedda/allenai-longformer-base-4096_finetuned_augmented_augmented_deepseek
  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. -->

# jackmedda/allenai-longformer-base-4096_finetuned_augmented_augmented_deepseek

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: 0.6944
- Accuracy: 0.8529
- F1: 0.9091
- Precision: 0.8621
- Recall: 0.9615

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6234        | 1.0   | 46   | 0.8497          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.6942        | 2.0   | 92   | 0.8268          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.4943        | 3.0   | 138  | 0.5841          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.4528        | 4.0   | 184  | 0.5123          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.2654        | 5.0   | 230  | 1.1415          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.2954        | 6.0   | 276  | 0.5154          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.4836        | 7.0   | 322  | 0.5581          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0019        | 8.0   | 368  | 0.7121          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.1174        | 9.0   | 414  | 0.8265          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0005        | 10.0  | 460  | 0.7687          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0004        | 11.0  | 506  | 0.6626          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0003        | 12.0  | 552  | 0.5331          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0002        | 13.0  | 598  | 0.6969          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0003        | 14.0  | 644  | 0.5765          | 0.9      | 0.9333 | 0.875     | 1.0    |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0