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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 |
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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 |
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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: 0.4961 |
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- Accuracy: 0.9068 |
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- F1: 0.9452 |
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- Precision: 0.9265 |
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- Recall: 0.9646 |
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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: 10 |
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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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| 0.8485 | 1.0 | 5152 | 0.8574 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.7968 | 2.0 | 10304 | 0.8441 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.847 | 3.0 | 15456 | 0.8049 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.8677 | 4.0 | 20608 | 0.7919 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.8778 | 5.0 | 25760 | 0.8980 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.7563 | 6.0 | 30912 | 0.8299 | 0.8323 | 0.9085 | 0.8323 | 1.0 | |
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| 0.661 | 7.0 | 36064 | 0.6065 | 0.8882 | 0.9357 | 0.8973 | 0.9776 | |
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| 0.8207 | 8.0 | 41216 | 0.5387 | 0.8975 | 0.9410 | 0.9038 | 0.9813 | |
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| 0.6872 | 9.0 | 46368 | 0.5960 | 0.8602 | 0.9212 | 0.8680 | 0.9813 | |
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| 0.4596 | 10.0 | 51520 | 0.4961 | 0.9068 | 0.9452 | 0.9265 | 0.9646 | |
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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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