---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: relevance-classification-v1
  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. -->

# relevance-classification-v1

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: 4.7320
- Accuracy: 0.6345

## 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 338   | 0.6871          | 0.5586   |
| 0.7716        | 2.0   | 676   | 1.3578          | 0.5931   |
| 0.8734        | 3.0   | 1014  | 1.1640          | 0.6552   |
| 0.8734        | 4.0   | 1352  | 1.2912          | 0.6690   |
| 0.7616        | 5.0   | 1690  | 1.6544          | 0.6414   |
| 0.6167        | 6.0   | 2028  | 1.6598          | 0.6276   |
| 0.6167        | 7.0   | 2366  | 1.8299          | 0.6759   |
| 0.4001        | 8.0   | 2704  | 1.6994          | 0.6759   |
| 0.2597        | 9.0   | 3042  | 2.6242          | 0.6207   |
| 0.2597        | 10.0  | 3380  | 2.6644          | 0.6414   |
| 0.1271        | 11.0  | 3718  | 3.1617          | 0.6207   |
| 0.1108        | 12.0  | 4056  | 3.6947          | 0.5862   |
| 0.1108        | 13.0  | 4394  | 2.4827          | 0.6690   |
| 0.1297        | 14.0  | 4732  | 3.1760          | 0.6552   |
| 0.0621        | 15.0  | 5070  | 2.9946          | 0.6414   |
| 0.0621        | 16.0  | 5408  | 3.4196          | 0.6138   |
| 0.0802        | 17.0  | 5746  | 3.2127          | 0.6276   |
| 0.0321        | 18.0  | 6084  | 4.0789          | 0.5724   |
| 0.0321        | 19.0  | 6422  | 3.4500          | 0.6414   |
| 0.095         | 20.0  | 6760  | 3.6493          | 0.6207   |
| 0.066         | 21.0  | 7098  | 3.6884          | 0.6483   |
| 0.066         | 22.0  | 7436  | 3.6964          | 0.6414   |
| 0.0311        | 23.0  | 7774  | 3.9008          | 0.6414   |
| 0.0           | 24.0  | 8112  | 3.9903          | 0.6414   |
| 0.0           | 25.0  | 8450  | 4.1142          | 0.6483   |
| 0.0           | 26.0  | 8788  | 4.1873          | 0.6483   |
| 0.0287        | 27.0  | 9126  | 2.7993          | 0.6828   |
| 0.0287        | 28.0  | 9464  | 2.8943          | 0.6897   |
| 0.1471        | 29.0  | 9802  | 3.0466          | 0.6552   |
| 0.0346        | 30.0  | 10140 | 3.6512          | 0.6207   |
| 0.0346        | 31.0  | 10478 | 3.7744          | 0.6207   |
| 0.0           | 32.0  | 10816 | 4.1046          | 0.6138   |
| 0.0202        | 33.0  | 11154 | 4.1819          | 0.5724   |
| 0.0202        | 34.0  | 11492 | 3.8847          | 0.6276   |
| 0.034         | 35.0  | 11830 | 4.4781          | 0.5793   |
| 0.008         | 36.0  | 12168 | 3.8375          | 0.6483   |
| 0.0           | 37.0  | 12506 | 3.9397          | 0.6483   |
| 0.0           | 38.0  | 12844 | 4.0213          | 0.6483   |
| 0.0           | 39.0  | 13182 | 4.0805          | 0.6483   |
| 0.0           | 40.0  | 13520 | 4.1432          | 0.6483   |
| 0.0           | 41.0  | 13858 | 4.6171          | 0.6207   |
| 0.0038        | 42.0  | 14196 | 4.6608          | 0.6207   |
| 0.0           | 43.0  | 14534 | 4.6955          | 0.6207   |
| 0.0           | 44.0  | 14872 | 4.7289          | 0.6207   |
| 0.0           | 45.0  | 15210 | 4.7580          | 0.6207   |
| 0.0           | 46.0  | 15548 | 4.7836          | 0.6276   |
| 0.0           | 47.0  | 15886 | 4.7811          | 0.6276   |
| 0.0           | 48.0  | 16224 | 4.7987          | 0.6276   |
| 0.001         | 49.0  | 16562 | 4.7271          | 0.6345   |
| 0.001         | 50.0  | 16900 | 4.7320          | 0.6345   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2