---
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: 4.5156
- Accuracy: 0.6069

## 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   | 0.6547          | 0.6138   |
| 0.744         | 2.0   | 676   | 1.3339          | 0.6069   |
| 0.8767        | 3.0   | 1014  | 0.6368          | 0.6207   |
| 0.8767        | 4.0   | 1352  | 0.8089          | 0.5931   |
| 0.82          | 5.0   | 1690  | 1.7406          | 0.6276   |
| 0.7448        | 6.0   | 2028  | 1.5868          | 0.6345   |
| 0.7448        | 7.0   | 2366  | 1.6950          | 0.6483   |
| 0.5449        | 8.0   | 2704  | 1.8365          | 0.6276   |
| 0.4678        | 9.0   | 3042  | 1.9301          | 0.6069   |
| 0.4678        | 10.0  | 3380  | 2.1818          | 0.6138   |
| 0.3283        | 11.0  | 3718  | 2.1599          | 0.6      |
| 0.2159        | 12.0  | 4056  | 2.3001          | 0.6207   |
| 0.2159        | 13.0  | 4394  | 2.3061          | 0.6138   |
| 0.1953        | 14.0  | 4732  | 2.5816          | 0.6069   |
| 0.1241        | 15.0  | 5070  | 2.7310          | 0.6069   |
| 0.1241        | 16.0  | 5408  | 2.5896          | 0.6207   |
| 0.1793        | 17.0  | 5746  | 2.7177          | 0.6207   |
| 0.0978        | 18.0  | 6084  | 2.6936          | 0.6069   |
| 0.0978        | 19.0  | 6422  | 2.4796          | 0.6069   |
| 0.175         | 20.0  | 6760  | 3.1355          | 0.6      |
| 0.1408        | 21.0  | 7098  | 3.0787          | 0.6069   |
| 0.1408        | 22.0  | 7436  | 3.0301          | 0.6      |
| 0.1127        | 23.0  | 7774  | 3.5055          | 0.5793   |
| 0.0812        | 24.0  | 8112  | 2.7603          | 0.6414   |
| 0.0812        | 25.0  | 8450  | 3.2282          | 0.5793   |
| 0.078         | 26.0  | 8788  | 3.3855          | 0.6138   |
| 0.0228        | 27.0  | 9126  | 3.2529          | 0.6      |
| 0.0228        | 28.0  | 9464  | 3.5188          | 0.6      |
| 0.0556        | 29.0  | 9802  | 3.3436          | 0.5931   |
| 0.0564        | 30.0  | 10140 | 3.6578          | 0.6069   |
| 0.0564        | 31.0  | 10478 | 3.6755          | 0.6069   |
| 0.0339        | 32.0  | 10816 | 3.5301          | 0.6138   |
| 0.0273        | 33.0  | 11154 | 3.8414          | 0.6069   |
| 0.0273        | 34.0  | 11492 | 4.0242          | 0.6069   |
| 0.0045        | 35.0  | 11830 | 4.2730          | 0.5931   |
| 0.0503        | 36.0  | 12168 | 3.8472          | 0.6069   |
| 0.0043        | 37.0  | 12506 | 4.1642          | 0.5931   |
| 0.0043        | 38.0  | 12844 | 4.2903          | 0.5931   |
| 0.0           | 39.0  | 13182 | 4.3893          | 0.5931   |
| 0.0           | 40.0  | 13520 | 4.4723          | 0.5931   |
| 0.0           | 41.0  | 13858 | 4.4564          | 0.5931   |
| 0.0088        | 42.0  | 14196 | 4.5376          | 0.5931   |
| 0.0375        | 43.0  | 14534 | 4.2578          | 0.6      |
| 0.0375        | 44.0  | 14872 | 4.3456          | 0.6069   |
| 0.0           | 45.0  | 15210 | 4.3547          | 0.6069   |
| 0.0002        | 46.0  | 15548 | 4.4010          | 0.6138   |
| 0.0002        | 47.0  | 15886 | 4.4475          | 0.6069   |
| 0.0           | 48.0  | 16224 | 4.4869          | 0.6069   |
| 0.0           | 49.0  | 16562 | 4.5066          | 0.6069   |
| 0.0           | 50.0  | 16900 | 4.5156          | 0.6069   |


### Framework versions

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