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