---
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
  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

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: 0.4961
- Accuracy: 0.9068
- F1: 0.9452
- Precision: 0.9265
- Recall: 0.9646

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8485        | 1.0   | 5152  | 0.8574          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.7968        | 2.0   | 10304 | 0.8441          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.847         | 3.0   | 15456 | 0.8049          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.8677        | 4.0   | 20608 | 0.7919          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.8778        | 5.0   | 25760 | 0.8980          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.7563        | 6.0   | 30912 | 0.8299          | 0.8323   | 0.9085 | 0.8323    | 1.0    |
| 0.661         | 7.0   | 36064 | 0.6065          | 0.8882   | 0.9357 | 0.8973    | 0.9776 |
| 0.8207        | 8.0   | 41216 | 0.5387          | 0.8975   | 0.9410 | 0.9038    | 0.9813 |
| 0.6872        | 9.0   | 46368 | 0.5960          | 0.8602   | 0.9212 | 0.8680    | 0.9813 |
| 0.4596        | 10.0  | 51520 | 0.4961          | 0.9068   | 0.9452 | 0.9265    | 0.9646 |


### Framework versions

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