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--- |
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license: mit |
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base_model: xlnet/xlnet-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlnet-finetuned-combo-textbook |
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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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# xlnet-finetuned-combo-textbook |
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This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co./xlnet/xlnet-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0808 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.253 | 1.0 | 4936 | 4.0294 | |
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| 3.9996 | 2.0 | 9872 | 3.7778 | |
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| 3.7934 | 3.0 | 14808 | 3.6649 | |
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| 3.6521 | 4.0 | 19744 | 3.5187 | |
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| 3.4482 | 5.0 | 24680 | 3.4388 | |
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| 3.3614 | 6.0 | 29616 | 3.3667 | |
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| 3.2806 | 7.0 | 34552 | 3.2489 | |
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| 3.1099 | 8.0 | 39488 | 3.1831 | |
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| 2.9822 | 9.0 | 44424 | 3.1453 | |
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| 2.9188 | 10.0 | 49360 | 3.0808 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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