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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: first |
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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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# first |
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This model is a fine-tuned version of [nystromformer-gottbert-base-8192](https://huggingface.co/nystromformer-gottbert-base-8192) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5135 |
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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: 3e-05 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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_steps: 500 |
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- num_epochs: 3.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 6.7133 | 0.1 | 500 | 6.6155 | |
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| 2.7876 | 0.2 | 1000 | 2.5542 | |
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| 2.1831 | 0.3 | 1500 | 2.0356 | |
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| 2.0316 | 0.4 | 2000 | 1.8793 | |
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| 2.0678 | 0.49 | 2500 | 1.7954 | |
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| 1.8182 | 0.59 | 3000 | 1.7473 | |
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| 1.7393 | 0.69 | 3500 | 1.7081 | |
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| 1.7586 | 0.79 | 4000 | 1.6787 | |
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| 1.7417 | 0.89 | 4500 | 1.6563 | |
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| 1.8256 | 0.99 | 5000 | 1.6370 | |
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| 1.7957 | 1.09 | 5500 | 1.6219 | |
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| 1.6876 | 1.19 | 6000 | 1.6084 | |
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| 1.7172 | 1.28 | 6500 | 1.5941 | |
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| 1.6564 | 1.38 | 7000 | 1.5881 | |
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| 1.732 | 1.48 | 7500 | 1.5757 | |
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| 1.8272 | 1.58 | 8000 | 1.5692 | |
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| 1.7951 | 1.68 | 8500 | 1.5617 | |
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| 1.6669 | 1.78 | 9000 | 1.5546 | |
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| 1.6489 | 1.88 | 9500 | 1.5458 | |
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| 1.772 | 1.98 | 10000 | 1.5439 | |
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| 1.7424 | 2.08 | 10500 | 1.5379 | |
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| 1.7077 | 2.17 | 11000 | 1.5322 | |
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| 1.6926 | 2.27 | 11500 | 1.5294 | |
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| 1.656 | 2.37 | 12000 | 1.5274 | |
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| 1.7002 | 2.47 | 12500 | 1.5201 | |
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| 1.7102 | 2.57 | 13000 | 1.5197 | |
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| 1.7158 | 2.67 | 13500 | 1.5162 | |
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| 1.6081 | 2.77 | 14000 | 1.5169 | |
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| 1.754 | 2.87 | 14500 | 1.5140 | |
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| 1.3588 | 2.96 | 15000 | 1.5135 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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