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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: longformer_sciq |
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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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# longformer_sciq |
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This model is a fine-tuned version of [VuongQuoc/longformer_sciq](https://huggingface.co/VuongQuoc/longformer_sciq) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5326 |
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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: 5e-06 |
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- train_batch_size: 2 |
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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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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1931 | 0.2 | 20 | 0.7457 | |
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| 0.7677 | 0.4 | 40 | 0.7063 | |
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| 1.0391 | 0.6 | 60 | 0.6745 | |
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| 1.2915 | 0.8 | 80 | 0.6316 | |
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| 1.1399 | 1.0 | 100 | 0.6652 | |
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| 0.9975 | 1.2 | 120 | 0.6134 | |
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| 0.9232 | 1.4 | 140 | 0.5561 | |
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| 0.8026 | 1.6 | 160 | 0.5422 | |
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| 0.7188 | 1.8 | 180 | 0.5370 | |
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| 0.7272 | 2.0 | 200 | 0.5326 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.0+cpu |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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