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--- |
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license: apache-2.0 |
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base_model: allenai/longformer-base-4096 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: framing_classification_longformer_30_augmented |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# framing_classification_longformer_30_augmented |
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6496 |
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- Accuracy: 0.8751 |
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- F1: 0.9011 |
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- Precision: 0.8225 |
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- Recall: 0.9963 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.8842 | 1.0 | 7499 | 0.6496 | 0.8751 | 0.9011 | 0.8225 | 0.9963 | |
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| 0.8986 | 2.0 | 14998 | 1.3833 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4876 | 3.0 | 22497 | 1.5014 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4259 | 4.0 | 29996 | 1.4886 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5043 | 5.0 | 37495 | 1.6020 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5677 | 6.0 | 44994 | 1.5306 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4929 | 7.0 | 52493 | 1.4485 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5105 | 8.0 | 59992 | 1.5439 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.3803 | 9.0 | 67491 | 1.4443 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4626 | 10.0 | 74990 | 1.5080 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4786 | 11.0 | 82489 | 1.5953 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5471 | 12.0 | 89988 | 1.4525 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5419 | 13.0 | 97487 | 1.5372 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.3997 | 14.0 | 104986 | 1.3026 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4623 | 15.0 | 112485 | 1.4700 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4559 | 16.0 | 119984 | 1.5842 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.462 | 17.0 | 127483 | 1.3627 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4793 | 18.0 | 134982 | 1.4688 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.5473 | 19.0 | 142481 | 1.5292 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4102 | 20.0 | 149980 | 1.4355 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.399 | 21.0 | 157479 | 1.4642 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4259 | 22.0 | 164978 | 1.3940 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.4668 | 23.0 | 172477 | 1.4560 | 0.5710 | 0.7269 | 0.5710 | 1.0 | |
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| 1.2382 | 24.0 | 179976 | 1.2598 | 0.6094 | 0.6599 | 0.6562 | 0.6636 | |
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| 1.3404 | 25.0 | 187475 | 1.4411 | 0.5656 | 0.4919 | 0.7406 | 0.3682 | |
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| 1.4606 | 26.0 | 194974 | 1.2831 | 0.6009 | 0.5844 | 0.7205 | 0.4916 | |
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| 0.6338 | 27.0 | 202473 | 1.8519 | 0.5774 | 0.7258 | 0.5765 | 0.9794 | |
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| 1.4405 | 28.0 | 209972 | 1.5227 | 0.5816 | 0.7308 | 0.5776 | 0.9944 | |
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| 0.6593 | 29.0 | 217471 | 1.6163 | 0.5507 | 0.7087 | 0.5626 | 0.9570 | |
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| 0.6664 | 30.0 | 224970 | 1.7090 | 0.5699 | 0.7249 | 0.5710 | 0.9925 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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