---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: framing_classification_longformer_30_augmented_multi_undersampled_second
  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. -->

# framing_classification_longformer_30_augmented_multi_undersampled_second

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3928
- Accuracy: 0.9452
- F1: 0.9479
- Precision: 0.9496
- Recall: 0.9468

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.7779        | 1.0   | 11979  | 0.7469          | 0.8671   | 0.8587 | 0.8727    | 0.8604 |
| 0.5767        | 2.0   | 23958  | 0.6461          | 0.9025   | 0.8972 | 0.9102    | 0.8975 |
| 0.4894        | 3.0   | 35937  | 0.5479          | 0.9218   | 0.9208 | 0.9254    | 0.9200 |
| 0.5261        | 4.0   | 47916  | 0.4513          | 0.9238   | 0.9238 | 0.9294    | 0.9212 |
| 0.4559        | 5.0   | 59895  | 0.4831          | 0.9225   | 0.9219 | 0.9285    | 0.9205 |
| 0.4335        | 6.0   | 71874  | 0.6019          | 0.9138   | 0.9132 | 0.9211    | 0.9123 |
| 0.4899        | 7.0   | 83853  | 0.4653          | 0.9299   | 0.9295 | 0.9356    | 0.9264 |
| 0.5907        | 8.0   | 95832  | 0.4006          | 0.9419   | 0.9437 | 0.9494    | 0.9403 |
| 0.5436        | 9.0   | 107811 | 0.4034          | 0.9472   | 0.9494 | 0.9525    | 0.9479 |
| 0.3722        | 10.0  | 119790 | 0.4336          | 0.9385   | 0.9391 | 0.9433    | 0.9386 |
| 0.443         | 11.0  | 131769 | 0.4519          | 0.9332   | 0.9365 | 0.9375    | 0.9363 |
| 0.3867        | 12.0  | 143748 | 0.4657          | 0.9232   | 0.9268 | 0.9242    | 0.9301 |
| 0.3362        | 13.0  | 155727 | 0.4739          | 0.9305   | 0.9336 | 0.9327    | 0.9353 |
| 0.3106        | 14.0  | 167706 | 0.4533          | 0.9399   | 0.9404 | 0.9445    | 0.9386 |
| 0.3265        | 15.0  | 179685 | 0.3928          | 0.9452   | 0.9479 | 0.9496    | 0.9468 |
| 0.2352        | 16.0  | 191664 | 0.4770          | 0.9238   | 0.9279 | 0.9251    | 0.9320 |
| 0.2962        | 17.0  | 203643 | 0.4575          | 0.9345   | 0.9383 | 0.9390    | 0.9377 |
| 0.3453        | 18.0  | 215622 | 0.6071          | 0.9152   | 0.9203 | 0.9174    | 0.9253 |
| 0.1919        | 19.0  | 227601 | 0.5484          | 0.9238   | 0.9280 | 0.9260    | 0.9313 |
| 0.1667        | 20.0  | 239580 | 0.4992          | 0.9325   | 0.9358 | 0.9359    | 0.9363 |
| 0.1111        | 21.0  | 251559 | 0.5727          | 0.9272   | 0.9319 | 0.9292    | 0.9358 |
| 0.1705        | 22.0  | 263538 | 0.5028          | 0.9345   | 0.9392 | 0.9385    | 0.9401 |
| 0.1745        | 23.0  | 275517 | 0.5244          | 0.9345   | 0.9389 | 0.9387    | 0.9394 |
| 0.1366        | 24.0  | 287496 | 0.5165          | 0.9345   | 0.9393 | 0.9370    | 0.9423 |
| 0.1031        | 25.0  | 299475 | 0.5479          | 0.9339   | 0.9382 | 0.9368    | 0.9399 |
| 0.0851        | 26.0  | 311454 | 0.6036          | 0.9345   | 0.9386 | 0.9378    | 0.9396 |
| 0.125         | 27.0  | 323433 | 0.5253          | 0.9385   | 0.9424 | 0.9419    | 0.9430 |
| 0.1193        | 28.0  | 335412 | 0.5650          | 0.9352   | 0.9394 | 0.9376    | 0.9415 |
| 0.067         | 29.0  | 347391 | 0.5818          | 0.9352   | 0.9395 | 0.9376    | 0.9418 |
| 0.0219        | 30.0  | 359370 | 0.5994          | 0.9359   | 0.9402 | 0.9385    | 0.9423 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3