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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
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
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: 1.3585
- Accuracy: 0.6170
- F1: 0.1988
- Precision: 0.2058
- Recall: 0.2476
## 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 | Accuracy | F1 | Validation Loss | Precision | Recall |
|:-------------:|:-----:|:------:|:--------:|:------:|:---------------:|:---------:|:------:|
| 1.282 | 1.0 | 7043 | 0.5773 | 0.1691 | 1.5099 | 0.1473 | 0.2326 |
| 2.5135 | 2.0 | 14086 | 0.5455 | 0.1008 | 2.2716 | 0.0779 | 0.1429 |
| 2.384 | 3.0 | 21129 | 0.5455 | 0.1008 | 2.6195 | 0.0779 | 0.1429 |
| 2.5536 | 4.0 | 28172 | 0.5455 | 0.1008 | 2.3823 | 0.0779 | 0.1429 |
| 2.3549 | 5.0 | 35215 | 0.5455 | 0.1008 | 2.3964 | 0.0779 | 0.1429 |
| 2.3181 | 6.0 | 42258 | 0.5455 | 0.1008 | 2.4343 | 0.0779 | 0.1429 |
| 2.4398 | 7.0 | 49301 | 0.5455 | 0.1008 | 2.4609 | 0.0779 | 0.1429 |
| 2.3715 | 8.0 | 56344 | 0.5455 | 0.1008 | 2.4317 | 0.0779 | 0.1429 |
| 2.5554 | 9.0 | 63387 | 0.5455 | 0.1008 | 2.3966 | 0.0779 | 0.1429 |
| 1.3177 | 10.0 | 70430 | 0.5830 | 0.1707 | 1.4776 | 0.1472 | 0.2352 |
| 1.3928 | 11.0 | 77473 | 0.6159 | 0.1750 | 1.5114 | 0.1470 | 0.2348 |
| 1.5202 | 12.0 | 84516 | 0.6159 | 0.1746 | 1.4525 | 0.1465 | 0.2337 |
| 1.4013 | 13.0 | 91559 | 0.5909 | 0.1625 | 1.4524 | 0.1399 | 0.2113 |
| 1.4087 | 14.0 | 98602 | 0.5955 | 0.1736 | 1.4572 | 0.1484 | 0.2385 |
| 2.3755 | 15.0 | 105645 | 0.5727 | 0.1420 | 1.9328 | 0.1193 | 0.1771 |
| 2.2211 | 16.0 | 112688 | 0.5943 | 0.1596 | 1.7707 | 0.1317 | 0.2043 |
| 2.0359 | 17.0 | 119731 | 0.5830 | 0.1506 | 1.9399 | 0.1248 | 0.19 |
| 1.7553 | 18.0 | 126774 | 0.5920 | 0.1580 | 1.8171 | 0.1306 | 0.2026 |
| 1.4321 | 19.0 | 133817 | 0.6125 | 0.1733 | 1.4162 | 0.1462 | 0.2317 |
| 1.4545 | 20.0 | 140860 | 0.6068 | 0.1728 | 1.4446 | 0.1466 | 0.2324 |
| 1.3939 | 21.0 | 147903 | 0.6148 | 0.1747 | 1.4451 | 0.1473 | 0.2345 |
| 1.4333 | 22.0 | 154946 | 0.5841 | 0.1702 | 1.4462 | 0.1474 | 0.2333 |
| 1.3013 | 23.0 | 161989 | 0.6170 | 0.1757 | 1.4099 | 0.1480 | 0.2363 |
| 1.397 | 24.0 | 169032 | 0.6170 | 0.1766 | 1.4181 | 0.1489 | 0.2385 |
| 1.4752 | 25.0 | 176075 | 0.6136 | 0.1727 | 1.3997 | 0.1444 | 0.2297 |
| 1.372 | 26.0 | 183118 | 1.4134 | 0.6170 | 0.1748 | 0.1471 | 0.2340 |
| 1.4563 | 27.0 | 190161 | 1.3920 | 0.6205 | 0.1775 | 0.1492 | 0.2394 |
| 1.3727 | 28.0 | 197204 | 1.3763 | 0.6125 | 0.1737 | 0.1465 | 0.2328 |
| 1.4587 | 29.0 | 204247 | 1.3585 | 0.6170 | 0.1988 | 0.2058 | 0.2476 |
| 1.2723 | 30.0 | 211290 | 1.3586 | 0.6136 | 0.1973 | 0.1967 | 0.2455 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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