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--- |
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license: mit |
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base_model: 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-cased-AS-HU-f1-score |
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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-cased-AS-HU-f1-score |
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co./xlnet-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6569 |
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- F1-score: 0.8203 |
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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-05 |
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- train_batch_size: 16 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7105 | 1.0 | 64 | 0.6670 | 0.3697 | |
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| 0.654 | 2.0 | 128 | 0.6053 | 0.6119 | |
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| 0.509 | 3.0 | 192 | 0.4952 | 0.7471 | |
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| 0.3514 | 4.0 | 256 | 0.5171 | 0.7849 | |
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| 0.2233 | 5.0 | 320 | 0.6229 | 0.8059 | |
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| 0.1441 | 6.0 | 384 | 0.9291 | 0.8112 | |
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| 0.1376 | 7.0 | 448 | 1.4415 | 0.7421 | |
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| 0.0624 | 8.0 | 512 | 1.3527 | 0.8128 | |
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| 0.0224 | 9.0 | 576 | 1.4643 | 0.8103 | |
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| 0.0136 | 10.0 | 640 | 1.3725 | 0.8268 | |
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| 0.0177 | 11.0 | 704 | 1.5826 | 0.8142 | |
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| 0.0101 | 12.0 | 768 | 1.6241 | 0.8150 | |
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| 0.0003 | 13.0 | 832 | 1.6149 | 0.8165 | |
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| 0.0002 | 14.0 | 896 | 1.6481 | 0.8203 | |
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| 0.0001 | 15.0 | 960 | 1.6569 | 0.8203 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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