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---
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
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