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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_50
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_50
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: 0.3739
- Accuracy: 0.9332
- F1: 0.9608
- Precision: 0.9394
- Recall: 0.9832
## 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: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8078 | 1.0 | 5152 | 0.8413 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7998 | 2.0 | 10304 | 0.8279 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.9031 | 3.0 | 15456 | 0.9204 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7805 | 4.0 | 20608 | 0.8259 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8775 | 5.0 | 25760 | 0.8078 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7248 | 6.0 | 30912 | 0.7587 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8282 | 7.0 | 36064 | 0.7737 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.774 | 8.0 | 41216 | 0.8283 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.802 | 9.0 | 46368 | 0.7968 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8458 | 10.0 | 51520 | 0.8591 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7923 | 11.0 | 56672 | 0.8526 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8435 | 12.0 | 61824 | 0.8076 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8239 | 13.0 | 66976 | 0.8152 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7751 | 14.0 | 72128 | 0.8280 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7984 | 15.0 | 77280 | 0.8358 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8359 | 16.0 | 82432 | 0.8471 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.9831 | 17.0 | 87584 | 0.8089 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.9051 | 18.0 | 92736 | 0.8094 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.9337 | 19.0 | 97888 | 0.8296 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.9565 | 20.0 | 103040 | 0.8021 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8494 | 21.0 | 108192 | 0.8405 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.822 | 22.0 | 113344 | 0.8481 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.856 | 23.0 | 118496 | 0.8194 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.8892 | 24.0 | 123648 | 0.8394 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.7816 | 25.0 | 128800 | 0.7035 | 0.8649 | 0.9245 | 0.8639 | 0.9944 |
| 0.6349 | 26.0 | 133952 | 0.6452 | 0.8773 | 0.9309 | 0.8764 | 0.9925 |
| 0.6872 | 27.0 | 139104 | 0.6440 | 0.8820 | 0.9331 | 0.8833 | 0.9888 |
| 0.7452 | 28.0 | 144256 | 0.5578 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.6425 | 29.0 | 149408 | 0.4712 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
| 0.6705 | 30.0 | 154560 | 0.6447 | 0.8866 | 0.9357 | 0.8865 | 0.9907 |
| 0.5748 | 31.0 | 159712 | 0.4063 | 0.9239 | 0.9553 | 0.9340 | 0.9776 |
| 0.6543 | 32.0 | 164864 | 0.4753 | 0.9099 | 0.9482 | 0.9092 | 0.9907 |
| 0.5376 | 33.0 | 170016 | 0.4782 | 0.9099 | 0.9482 | 0.9092 | 0.9907 |
| 0.6895 | 34.0 | 175168 | 0.4383 | 0.9177 | 0.9524 | 0.9185 | 0.9888 |
| 0.5867 | 35.0 | 180320 | 0.4970 | 0.9130 | 0.9497 | 0.9152 | 0.9869 |
| 0.7092 | 36.0 | 185472 | 0.4719 | 0.9177 | 0.9521 | 0.9229 | 0.9832 |
| 0.6561 | 37.0 | 190624 | 0.4763 | 0.9146 | 0.9508 | 0.9139 | 0.9907 |
| 0.5693 | 38.0 | 195776 | 0.3947 | 0.9301 | 0.9591 | 0.9345 | 0.9851 |
| 0.4321 | 39.0 | 200928 | 0.4632 | 0.9161 | 0.9503 | 0.9382 | 0.9627 |
| 0.5156 | 40.0 | 206080 | 0.4012 | 0.9301 | 0.9593 | 0.9299 | 0.9907 |
| 0.5279 | 41.0 | 211232 | 0.4558 | 0.9224 | 0.9550 | 0.9219 | 0.9907 |
| 0.5489 | 42.0 | 216384 | 0.4438 | 0.9193 | 0.9532 | 0.9201 | 0.9888 |
| 0.5586 | 43.0 | 221536 | 0.4469 | 0.9177 | 0.9526 | 0.9157 | 0.9925 |
| 0.575 | 44.0 | 226688 | 0.4310 | 0.9270 | 0.9569 | 0.9405 | 0.9739 |
| 0.4589 | 45.0 | 231840 | 0.4117 | 0.9301 | 0.9591 | 0.9345 | 0.9851 |
| 0.4012 | 46.0 | 236992 | 0.4501 | 0.9239 | 0.9553 | 0.9356 | 0.9757 |
| 0.5395 | 47.0 | 242144 | 0.3989 | 0.9317 | 0.96 | 0.9362 | 0.9851 |
| 0.5009 | 48.0 | 247296 | 0.3739 | 0.9332 | 0.9608 | 0.9394 | 0.9832 |
| 0.5356 | 49.0 | 252448 | 0.3805 | 0.9348 | 0.9617 | 0.9395 | 0.9851 |
| 0.5729 | 50.0 | 257600 | 0.3833 | 0.9348 | 0.9617 | 0.9395 | 0.9851 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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