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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_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
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