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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_14Dec |
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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_14Dec |
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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: 0.3279 |
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- Accuracy: 0.9493 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 7 |
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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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| 0.4495 | 1.0 | 5293 | 0.6105 | 0.8841 | |
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| 0.2916 | 2.0 | 10586 | 0.4680 | 0.9294 | |
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| 0.3098 | 3.0 | 15879 | 0.4065 | 0.9419 | |
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| 0.2335 | 4.0 | 21172 | 0.3796 | 0.9430 | |
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| 0.1565 | 5.0 | 26465 | 0.3467 | 0.9428 | |
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| 0.1886 | 6.0 | 31758 | 0.3174 | 0.9487 | |
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| 0.1042 | 7.0 | 37051 | 0.3279 | 0.9493 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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