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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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model-index: |
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- name: classification_test_24Jan |
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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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# classification_test_24Jan |
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2570 |
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- Accuracy: 0.9687 |
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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: 4 |
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- eval_batch_size: 4 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.5747 | 1.0 | 1318 | 0.2918 | 0.9311 | |
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| 0.3317 | 2.0 | 2636 | 0.2456 | 0.9459 | |
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| 0.2215 | 3.0 | 3954 | 0.2050 | 0.9550 | |
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| 0.1525 | 4.0 | 5272 | 0.2775 | 0.9590 | |
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| 0.0977 | 5.0 | 6590 | 0.2771 | 0.9585 | |
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| 0.0899 | 6.0 | 7908 | 0.2663 | 0.9613 | |
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| 0.082 | 7.0 | 9226 | 0.2500 | 0.9636 | |
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| 0.0698 | 8.0 | 10544 | 0.2939 | 0.9607 | |
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| 0.0287 | 9.0 | 11862 | 0.2668 | 0.9653 | |
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| 0.0417 | 10.0 | 13180 | 0.2570 | 0.9687 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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