---
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
  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

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: 0.6496
- Accuracy: 0.8751
- F1: 0.9011
- Precision: 0.8225
- Recall: 0.9963

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8842        | 1.0   | 7499   | 0.6496          | 0.8751   | 0.9011 | 0.8225    | 0.9963 |
| 0.8986        | 2.0   | 14998  | 1.3833          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4876        | 3.0   | 22497  | 1.5014          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4259        | 4.0   | 29996  | 1.4886          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5043        | 5.0   | 37495  | 1.6020          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5677        | 6.0   | 44994  | 1.5306          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4929        | 7.0   | 52493  | 1.4485          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5105        | 8.0   | 59992  | 1.5439          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.3803        | 9.0   | 67491  | 1.4443          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4626        | 10.0  | 74990  | 1.5080          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4786        | 11.0  | 82489  | 1.5953          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5471        | 12.0  | 89988  | 1.4525          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5419        | 13.0  | 97487  | 1.5372          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.3997        | 14.0  | 104986 | 1.3026          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4623        | 15.0  | 112485 | 1.4700          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4559        | 16.0  | 119984 | 1.5842          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.462         | 17.0  | 127483 | 1.3627          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4793        | 18.0  | 134982 | 1.4688          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.5473        | 19.0  | 142481 | 1.5292          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4102        | 20.0  | 149980 | 1.4355          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.399         | 21.0  | 157479 | 1.4642          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4259        | 22.0  | 164978 | 1.3940          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.4668        | 23.0  | 172477 | 1.4560          | 0.5710   | 0.7269 | 0.5710    | 1.0    |
| 1.2382        | 24.0  | 179976 | 1.2598          | 0.6094   | 0.6599 | 0.6562    | 0.6636 |
| 1.3404        | 25.0  | 187475 | 1.4411          | 0.5656   | 0.4919 | 0.7406    | 0.3682 |
| 1.4606        | 26.0  | 194974 | 1.2831          | 0.6009   | 0.5844 | 0.7205    | 0.4916 |
| 0.6338        | 27.0  | 202473 | 1.8519          | 0.5774   | 0.7258 | 0.5765    | 0.9794 |
| 1.4405        | 28.0  | 209972 | 1.5227          | 0.5816   | 0.7308 | 0.5776    | 0.9944 |
| 0.6593        | 29.0  | 217471 | 1.6163          | 0.5507   | 0.7087 | 0.5626    | 0.9570 |
| 0.6664        | 30.0  | 224970 | 1.7090          | 0.5699   | 0.7249 | 0.5710    | 0.9925 |


### Framework versions

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